| 2023 | "Are Your Explanations Reliable?" Investigating the Stability of LIME in Explaining Text Classifiers by Marrying XAI and Adversarial Attack. Christopher Burger, Lingwei Chen, Thai Le |
| 2023 | "Fifty Shades of Bias": Normative Ratings of Gender Bias in GPT Generated English Text. Rishav Hada, Agrima Seth, Harshita Diddee, Kalika Bali |
| 2023 | "Mistakes Help Us Grow": Facilitating and Evaluating Growth Mindset Supportive Language in Classrooms. Kunal Handa, Margaret Clapper, Jessica Boyle, Rose E. Wang, Diyi Yang, David S. Yeager, Dorottya Demszky |
| 2023 | 'Don't Get Too Technical with Me': A Discourse Structure-Based Framework for Automatic Science Journalism. Ronald Cardenas, Bingsheng Yao, Dakuo Wang, Yufang Hou |
| 2023 | 3DRP-Net: 3D Relative Position-aware Network for 3D Visual Grounding. Zehan Wang, Haifeng Huang, Yang Zhao, Linjun Li, Xize Cheng, Yichen Zhu, Aoxiong Yin, Zhou Zhao |
| 2023 | 4 and 7-bit Labeling for Projective and Non-Projective Dependency Trees. Carlos Gómez-Rodríguez, Diego Roca, David Vilares |
| 2023 | A Benchmark for Reasoning with Spatial Prepositions. Iulia M. Comsa, Srini Narayanan |
| 2023 | A Challenging Multimodal Video Summary: Simultaneously Extracting and Generating Keyframe-Caption Pairs from Video. Keito Kudo, Haruki Nagasawa, Jun Suzuki, Nobuyuki Shimizu |
| 2023 | A Cheaper and Better Diffusion Language Model with Soft-Masked Noise. Jiaao Chen, Aston Zhang, Mu Li, Alex Smola, Diyi Yang |
| 2023 | A Comprehensive Evaluation of Biomedical Entity Linking Models. David Kartchner, Jennifer Deng, Shubham Lohiya, Tejasri Kopparthi, Prasanth Bathala, Daniel Domingo-Fernández, Cassie S. Mitchell |
| 2023 | A Deeper (Autoregressive) Approach to Non-Convergent Discourse Parsing. Oren Tsur, Yoav Tulpan |
| 2023 | A Diachronic Analysis of Paradigm Shifts in NLP Research: When, How, and Why? Aniket Pramanick, Yufang Hou, Saif M. Mohammad, Iryna Gurevych |
| 2023 | A Diachronic Perspective on User Trust in AI under Uncertainty. Shehzaad Dhuliawala, Vilém Zouhar, Mennatallah El-Assady, Mrinmaya Sachan |
| 2023 | A Diffusion Weighted Graph Framework for New Intent Discovery. Wenkai Shi, Wenbin An, Feng Tian, Qinghua Zheng, Qianying Wang, Ping Chen |
| 2023 | A Digital Language Coherence Marker for Monitoring Dementia. Dimitris Gkoumas, Adam Tsakalidis, Maria Liakata |
| 2023 | A Fair and In-Depth Evaluation of Existing End-to-End Entity Linking Systems. Hannah Bast, Matthias Hertel, Natalie Prange |
| 2023 | A Fine-Grained Taxonomy of Replies to Hate Speech. Xinchen Yu, Ashley Zhao, Eduardo Blanco, Lingzi Hong |
| 2023 | A Framework for Vision-Language Warm-up Tasks in Multimodal Dialogue Models. Jaewook Lee, Seongsik Park, Seong-Heum Park, Hongjin Kim, Harksoo Kim |
| 2023 | A Frustratingly Easy Post-Training Quantization Scheme for LLMs. Yongkweon Jeon, Chungman Lee, Kyungphil Park, Ho-Young Kim |
| 2023 | A Generation-based Deductive Method for Math Word Problems. Yuxuan Hu, Jing Zhang, Haoyang Li, Cuiping Li, Hong Chen |
| 2023 | A Mechanistic Interpretation of Arithmetic Reasoning in Language Models using Causal Mediation Analysis. Alessandro Stolfo, Yonatan Belinkov, Mrinmaya Sachan |
| 2023 | A Multi-Task Dataset for Assessing Discourse Coherence in Chinese Essays: Structure, Theme, and Logic Analysis. Hongyi Wu, Xinshu Shen, Man Lan, Shaoguang Mao, Xiaopeng Bai, Yuanbin Wu |
| 2023 | A Picture is Worth a Thousand Words: Language Models Plan from Pixels. Anthony Z. Liu, Lajanugen Logeswaran, Sungryull Sohn, Honglak Lee |
| 2023 | A Predictive Factor Analysis of Social Biases and Task-Performance in Pretrained Masked Language Models. Yi Zhou, José Camacho-Collados, Danushka Bollegala |
| 2023 | A Quality-based Syntactic Template Retriever for Syntactically-Controlled Paraphrase Generation. Xue Zhang, Songming Zhang, Yunlong Liang, Yufeng Chen, Jian Liu, Wenjuan Han, Jinan Xu |
| 2023 | A Question Answering Framework for Decontextualizing User-facing Snippets from Scientific Documents. Benjamin Newman, Luca Soldaini, Raymond Fok, Arman Cohan, Kyle Lo |
| 2023 | A Rose by Any Other Name would not Smell as Sweet: Social Bias in Names Mistranslation. Sandra Sandoval, Jieyu Zhao, Marine Carpuat, Hal Daumé III |
| 2023 | A Scalable Framework for Table of Contents Extraction from Complex ESG Annual Reports. Xinyu Wang, Lin Gui, Yulan He |
| 2023 | A Self-enhancement Multitask Framework for Unsupervised Aspect Category Detection. Thi-Nhung Nguyen, Hoang Ngo, Kiem-Hieu Nguyen, Tuan-Dung Cao |
| 2023 | A Self-training Framework for Automated Medical Report Generation. Siyuan Wang, Zheng Liu, Bo Peng |
| 2023 | A Simple Baseline for Knowledge-Based Visual Question Answering. Alexandros Xenos, Themos Stafylakis, Ioannis Patras, Georgios Tzimiropoulos |
| 2023 | A State-Vector Framework for Dataset Effects. Esmat Sahak, Zining Zhu, Frank Rudzicz |
| 2023 | A Study on Accessing Linguistic Information in Pre-Trained Language Models by Using Prompts. Marion Di Marco, Katharina Hämmerl, Alexander Fraser |
| 2023 | A Suite of Generative Tasks for Multi-Level Multimodal Webpage Understanding. Andrea Burns, Krishna Srinivasan, Joshua Ainslie, Geoff Brown, Bryan A. Plummer, Kate Saenko, Jianmo Ni, Mandy Guo |
| 2023 | A Systematic Study of Performance Disparities in Multilingual Task-Oriented Dialogue Systems. Songbo Hu, Han Zhou, Moy Yuan, Milan Gritta, Guchun Zhang, Ignacio Iacobacci, Anna Korhonen, Ivan Vulic |
| 2023 | A Tale of Pronouns: Interpretability Informs Gender Bias Mitigation for Fairer Instruction-Tuned Machine Translation. Giuseppe Attanasio, Flor Miriam Plaza del Arco, Debora Nozza, Anne Lauscher |
| 2023 | A Training-Free Debiasing Framework with Counterfactual Reasoning for Conversational Emotion Detection. Geng Tu, Ran Jing, Bin Liang, Min Yang, Kam-Fai Wong, Ruifeng Xu |
| 2023 | A Unified View of Evaluation Metrics for Structured Prediction. Yunmo Chen, William Gantt, Tongfei Chen, Aaron Steven White, Benjamin Van Durme |
| 2023 | A Video Is Worth 4096 Tokens: Verbalize Story Videos To Understand Them In Zero Shot. Aanisha Bhattacharyya, Yaman Singla, Balaji Krishnamurthy, Rajiv Ratn Shah, Changyou Chen |
| 2023 | A linear time approximation of Wasserstein distance with word embedding selection. Sho Otao, Makoto Yamada |
| 2023 | ACQUIRED: A Dataset for Answering Counterfactual Questions In Real-Life Videos. Te-Lin Wu, Zi-Yi Dou, Qingyuan Hu, Yu Hou, Nischal Reddy Chandra, Marjorie Freedman, Ralph M. Weischedel, Nanyun Peng |
| 2023 | ACTOR: Active Learning with Annotator-specific Classification Heads to Embrace Human Label Variation. Xinpeng Wang, Barbara Plank |
| 2023 | AD-NLP: A Benchmark for Anomaly Detection in Natural Language Processing. Matei Bejan, Andrei Manolache, Marius Popescu |
| 2023 | ALCAP: Alignment-Augmented Music Captioner. Zihao He, Weituo Hao, Wei Tsung Lu, Changyou Chen, Kristina Lerman, Xuchen Song |
| 2023 | ALCUNA: Large Language Models Meet New Knowledge. Xunjian Yin, Baizhou Huang, Xiaojun Wan |
| 2023 | ALDi: Quantifying the Arabic Level of Dialectness of Text. Amr Keleg, Sharon Goldwater, Walid Magdy |
| 2023 | AMR Parsing is Far from Solved: GrAPES, the Granular AMR Parsing Evaluation Suite. Jonas Groschwitz, Shay B. Cohen, Lucia Donatelli, Meaghan Fowlie |
| 2023 | AMR Parsing with Causal Hierarchical Attention and Pointers. Chao Lou, Kewei Tu |
| 2023 | API-Assisted Code Generation for Question Answering on Varied Table Structures. Yihan Cao, Shuyi Chen, Ryan Liu, Zhiruo Wang, Daniel Fried |
| 2023 | API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs. Minghao Li, Yingxiu Zhao, Bowen Yu, Feifan Song, Hangyu Li, Haiyang Yu, Zhoujun Li, Fei Huang, Yongbin Li |
| 2023 | APoLLo : Unified Adapter and Prompt Learning for Vision Language Models. Sanjoy Chowdhury, Sayan Nag, Dinesh Manocha |
| 2023 | APrompt: Attention Prompt Tuning for Efficient Adaptation of Pre-trained Language Models. Qifan Wang, Yuning Mao, Jingang Wang, Hanchao Yu, Shaoliang Nie, Sinong Wang, Fuli Feng, Lifu Huang, Xiaojun Quan, Zenglin Xu, Dongfang Liu |
| 2023 | ART: rule bAsed futuRe-inference deducTion. Mengze Li, Tianqi Zhao, Jionghao Bai, Baoyi He, Jiaxu Miao, Wei Ji, Zheqi Lv, Zhou Zhao, Shengyu Zhang, Wenqiao Zhang, Fei Wu |
| 2023 | ATFormer: A Learned Performance Model with Transfer Learning Across Devices for Deep Learning Tensor Programs. Yang Bai, Wenqian Zhao, Shuo Yin, Zixiao Wang, Bei Yu |
| 2023 | ATHENA: Mathematical Reasoning with Thought Expansion. JB. Kim, Hazel Kim, Joonghyuk Hahn, Yo-Sub Han |
| 2023 | Absolute Position Embedding Learns Sinusoid-like Waves for Attention Based on Relative Position. Yuji Yamamoto, Takuya Matsuzaki |
| 2023 | Abstractive Open Information Extraction. Kevin Pei, Ishan Jindal, Kevin Chen-Chuan Chang |
| 2023 | Accelerating Toeplitz Neural Network with Constant-time Inference Complexity. Zhen Qin, Yiran Zhong |
| 2023 | Accented Speech Recognition With Accent-specific Codebooks. Darshan Prabhu, Preethi Jyothi, Sriram Ganapathy, Vinit Unni |
| 2023 | Active Instruction Tuning: Improving Cross-Task Generalization by Training on Prompt Sensitive Tasks. Po-Nien Kung, Fan Yin, Di Wu, Kai-Wei Chang, Nanyun Peng |
| 2023 | Active Learning for Natural Language Generation. Yotam Perlitz, Ariel Gera, Michal Shmueli-Scheuer, Dafna Sheinwald, Noam Slonim, Liat Ein-Dor |
| 2023 | Active Retrieval Augmented Generation. Zhengbao Jiang, Frank F. Xu, Luyu Gao, Zhiqing Sun, Qian Liu, Jane Dwivedi-Yu, Yiming Yang, Jamie Callan, Graham Neubig |
| 2023 | AdaSent: Efficient Domain-Adapted Sentence Embeddings for Few-Shot Classification. Yongxin Huang, Kexin Wang, Sourav Dutta, Raj Nath Patel, Goran Glavas, Iryna Gurevych |
| 2023 | Adapt in Contexts: Retrieval-Augmented Domain Adaptation via In-Context Learning. Quanyu Long, Wenya Wang, Sinno Jialin Pan |
| 2023 | Adapting Language Models to Compress Contexts. Alexis Chevalier, Alexander Wettig, Anirudh Ajith, Danqi Chen |
| 2023 | Adapting Offline Speech Translation Models for Streaming with Future-Aware Distillation and Inference. Biao Fu, Minpeng Liao, Kai Fan, Zhongqiang Huang, Boxing Chen, Yidong Chen, Xiaodong Shi |
| 2023 | Adaptive End-to-End Metric Learning for Zero-Shot Cross-Domain Slot Filling. Yuanjun Shi, Linzhi Wu, Minglai Shao |
| 2023 | Adaptive Gating in Mixture-of-Experts based Language Models. Jiamin Li, Qiang Su, Yitao Yang, Yimin Jiang, Cong Wang, Hong Xu |
| 2023 | Adaptive Policy with Wait-k Model for Simultaneous Translation. Libo Zhao, Kai Fan, Wei Luo, Jing Wu, Shushu Wang, Ziqian Zeng, Zhongqiang Huang |
| 2023 | Addressing Linguistic Bias through a Contrastive Analysis of Academic Writing in the NLP Domain. Robert Ridley, Zhen Wu, Jianbing Zhang, Shujian Huang, Xinyu Dai |
| 2023 | Addressing NER Annotation Noises with Uncertainty-Guided Tree-Structured CRFs. Jian Liu, Weichang Liu, Yufeng Chen, Jinan Xu, Zhe Zhao |
| 2023 | Advancements in Arabic Grammatical Error Detection and Correction: An Empirical Investigation. Bashar Alhafni, Go Inoue, Christian Khairallah, Nizar Habash |
| 2023 | AfriSenti: A Twitter Sentiment Analysis Benchmark for African Languages. Shamsuddeen Hassan Muhammad, Idris Abdulmumin, Abinew Ali Ayele, Nedjma Ousidhoum, David Ifeoluwa Adelani, Seid Muhie Yimam, Ibrahim Said Ahmad, Meriem Beloucif, Saif M. Mohammad, Sebastian Ruder, Oumaima Hourrane, Alípio Jorge, Pavel Brazdil, Felermino Dário Mário António Ali, Davis David, Salomey Osei, Bello Shehu Bello, Falalu Ibrahim Lawan, Tajuddeen Gwadabe, Samuel Rutunda, Tadesse Destaw Belay, Wendimu Baye Messelle, Hailu Beshada Balcha, Sisay Adugna Chala, Hagos Tesfahun Gebremichael, Bernard Opoku, Stephen Arthur |
| 2023 | Air-Decoding: Attribute Distribution Reconstruction for Decoding-Time Controllable Text Generation. Tianqi Zhong, Quan Wang, Jingxuan Han, Yongdong Zhang, Zhendong Mao |
| 2023 | Aligning Large Language Models through Synthetic Feedback. Sungdong Kim, Sanghwan Bae, Jamin Shin, Soyoung Kang, Donghyun Kwak, Kang Min Yoo, Minjoon Seo |
| 2023 | All Things Considered: Detecting Partisan Events from News Media with Cross-Article Comparison. Yujian Liu, Xinliang Frederick Zhang, Kaijian Zou, Ruihong Huang, Nicholas Beauchamp, Lu Wang |
| 2023 | An "Integrative Survey on Mental Health Conversational Agents to Bridge Computer Science and Medical Perspectives". Young Min Cho, Sunny Rai, Lyle H. Ungar, João Sedoc, Sharath Chandra Guntuku |
| 2023 | An Attribution Method for Siamese Encoders. Lucas Möller, Dmitry Nikolaev, Sebastian Padó |
| 2023 | An Empirical Study of Translation Hypothesis Ensembling with Large Language Models. António Farinhas, José Guilherme Camargo de Souza, André F. T. Martins |
| 2023 | An Exploration of Left-Corner Transformations. Andreas Opedal, Eleftheria Tsipidi, Tiago Pimentel, Ryan Cotterell, Tim Vieira |
| 2023 | An Expression Tree Decoding Strategy for Mathematical Equation Generation. Wenqi Zhang, Yongliang Shen, Qingpeng Nong, Zeqi Tan, Yanna Ma, Weiming Lu |
| 2023 | An Investigation of LLMs' Inefficacy in Understanding Converse Relations. Chengwen Qi, Bowen Li, Binyuan Hui, Bailin Wang, Jinyang Li, Jinwang Wu, Yuanjun Laili |
| 2023 | An Iteratively Parallel Generation Method with the Pre-Filling Strategy for Document-level Event Extraction. Guanhua Huang, Runxin Xu, Ying Zeng, Jiaze Chen, Zhouwang Yang, Weinan E |
| 2023 | Analysing State-Backed Propaganda Websites: a New Dataset and Linguistic Study. Freddy Heppell, Kalina Bontcheva, Carolina Scarton |
| 2023 | Analyzing Cognitive Plausibility of Subword Tokenization. Lisa Beinborn, Yuval Pinter |
| 2023 | Analyzing Film Adaptation through Narrative Alignment. Tanzir Pial, Shahreen Salim Aunti, Charuta Pethe, Allen Kim, Steven Skiena |
| 2023 | Analyzing Modular Approaches for Visual Question Decomposition. Apoorv Khandelwal, Ellie Pavlick, Chen Sun |
| 2023 | Analyzing Norm Violations in Live-Stream Chat. Jihyung Moon, Dong-Ho Lee, Hyundong Cho, Woojeong Jin, Chan Young Park, Minwoo Kim, Jonathan May, Jay Pujara, Sungjoon Park |
| 2023 | Anaphor Assisted Document-Level Relation Extraction. Chonggang Lu, Richong Zhang, Kai Sun, Jaein Kim, Cunwang Zhang, Yongyi Mao |
| 2023 | Anchoring Fine-tuning of Sentence Transformer with Semantic Label Information for Efficient Truly Few-shot Classification. Amalie Brogaard Pauli, Leon Derczynski, Ira Assent |
| 2023 | Answering Questions by Meta-Reasoning over Multiple Chains of Thought. Ori Yoran, Tomer Wolfson, Ben Bogin, Uri Katz, Daniel Deutch, Jonathan Berant |
| 2023 | AnyTOD: A Programmable Task-Oriented Dialog System. Jeffrey Zhao, Yuan Cao, Raghav Gupta, Harrison Lee, Abhinav Rastogi, Mingqiu Wang, Hagen Soltau, Izhak Shafran, Yonghui Wu |
| 2023 | Appraising the Potential Uses and Harms of LLMs for Medical Systematic Reviews. Hye Sun Yun, Iain James Marshall, Thomas A. Trikalinos, Byron C. Wallace |
| 2023 | Architectural Sweet Spots for Modeling Human Label Variation by the Example of Argument Quality: It's Best to Relate Perspectives! Philipp Heinisch, Matthias Orlikowski, Julia Romberg, Philipp Cimiano |
| 2023 | Are All Steps Equally Important? Benchmarking Essentiality Detection in Event Processes. Haoyu Wang, Hongming Zhang, Yueguan Wang, Yuqian Deng, Muhao Chen, Dan Roth |
| 2023 | Are Compressed Language Models Less Subgroup Robust? Leonidas Gee, Andrea Zugarini, Novi Quadrianto |
| 2023 | Are Embedded Potatoes Still Vegetables? On the Limitations of WordNet Embeddings for Lexical Semantics. Xuyou Cheng, Michael Sejr Schlichtkrull, Guy Emerson |
| 2023 | Argue with Me Tersely: Towards Sentence-Level Counter-Argument Generation. Jiayu Lin, Rong Ye, Meng Han, Qi Zhang, Ruofei Lai, Xinyu Zhang, Zhao Cao, Xuanjing Huang, Zhongyu Wei |
| 2023 | Argument-based Detection and Classification of Fallacies in Political Debates. Pierpaolo Goffredo, Mariana Espinoza, Serena Villata, Elena Cabrio |
| 2023 | Assessing Step-by-Step Reasoning against Lexical Negation: A Case Study on Syllogism. Mengyu Ye, Tatsuki Kuribayashi, Jun Suzuki, Goro Kobayashi, Hiroaki Funayama |
| 2023 | Assessing the influence of attractor-verb distance on grammatical agreement in humans and language models. Christos-Nikolaos Zacharopoulos, Théo Desbordes, Mathias Sablé-Meyer |
| 2023 | Augmenting Zero-Shot Dense Retrievers with Plug-in Mixture-of-Memories. Suyu Ge, Chenyan Xiong, Corby Rosset, Arnold Overwijk, Jiawei Han, Paul Bennett |
| 2023 | AutoTrial: Prompting Language Models for Clinical Trial Design. Zifeng Wang, Cao Xiao, Jimeng Sun |
| 2023 | Automated Fact-Checking in Dialogue: Are Specialized Models Needed? Eric Chamoun, Marzieh Saeidi, Andreas Vlachos |
| 2023 | Automatic Debate Evaluation with Argumentation Semantics and Natural Language Argument Graph Networks. Ramon Ruiz-Dolz, Stella Heras, Ana García-Fornes |
| 2023 | Automatic Prompt Optimization with "Gradient Descent" and Beam Search. Reid Pryzant, Dan Iter, Jerry Li, Yin Tat Lee, Chenguang Zhu, Michael Zeng |
| 2023 | Automatic Transcription of Handwritten Old Occitan Language. Esteban Garces Arias, Vallari Pai, Matthias Schöffel, Christian Heumann, Matthias Aßenmacher |
| 2023 | Axiomatic Preference Modeling for Longform Question Answering. Corby Rosset, Guoqing Zheng, Victor Dibia, Ahmed Awadallah, Paul N. Bennett |
| 2023 | BERTie Bott's Every Flavor Labels: A Tasty Introduction to Semantic Role Labeling for Galician. Micaella Bruton, Meriem Beloucif |
| 2023 | BLESS: Benchmarking Large Language Models on Sentence Simplification. Tannon Kew, Alison Chi, Laura Vásquez-Rodríguez, Sweta Agrawal, Dennis Aumiller, Fernando Alva-Manchego, Matthew Shardlow |
| 2023 | BRAINTEASER: Lateral Thinking Puzzles for Large Language Models. Yifan Jiang, Filip Ilievski, Kaixin Ma, Zhivar Sourati |
| 2023 | Back Transcription as a Method for Evaluating Robustness of Natural Language Understanding Models to Speech Recognition Errors. Marek Kubis, Pawel Skórzewski, Marcin Sowanski, Tomasz Zietkiewicz |
| 2023 | Background Summarization of Event Timelines. Adithya Pratapa, Kevin Small, Markus Dreyer |
| 2023 | Baize: An Open-Source Chat Model with Parameter-Efficient Tuning on Self-Chat Data. Canwen Xu, Daya Guo, Nan Duan, Julian J. McAuley |
| 2023 | Balance Act: Mitigating Hubness in Cross-Modal Retrieval with Query and Gallery Banks. Yimu Wang, Xiangru Jian, Bo Xue |
| 2023 | BanglaAbuseMeme: A Dataset for Bengali Abusive Meme Classification. Mithun Das, Animesh Mukherjee |
| 2023 | BasahaCorpus: An Expanded Linguistic Resource for Readability Assessment in Central Philippine Languages. Joseph Marvin Imperial, Ekaterina Kochmar |
| 2023 | Be Selfish, But Wisely: Investigating the Impact of Agent Personality in Mixed-Motive Human-Agent Interactions. Kushal Chawla, Ian Wu, Yu Rong, Gale M. Lucas, Jonathan Gratch |
| 2023 | Beat LLMs at Their Own Game: Zero-Shot LLM-Generated Text Detection via Querying ChatGPT. Biru Zhu, Lifan Yuan, Ganqu Cui, Yangyi Chen, Chong Fu, Bingxiang He, Yangdong Deng, Zhiyuan Liu, Maosong Sun, Ming Gu |
| 2023 | Benchmarking and Improving Text-to-SQL Generation under Ambiguity. Adithya Bhaskar, Tushar Tomar, Ashutosh Sathe, Sunita Sarawagi |
| 2023 | Best of Both Worlds: Towards Improving Temporal Knowledge Base Question Answering via Targeted Fact Extraction. Nithish Kannen, Udit Sharma, Sumit Neelam, Dinesh Khandelwal, Shajith Ikbal, Hima Karanam, L. Venkata Subramaniam |
| 2023 | Better Quality Pre-training Data and T5 Models for African Languages. Akintunde Oladipo, Mofetoluwa Adeyemi, Orevaoghene Ahia, Abraham Toluwase Owodunni, Odunayo Ogundepo, David Ifeoluwa Adelani, Jimmy Lin |
| 2023 | Beware of Model Collapse! Fast and Stable Test-time Adaptation for Robust Question Answering. Yi Su, Yixin Ji, Juntao Li, Hai Ye, Min Zhang |
| 2023 | Beyond Detection: A Defend-and-Summarize Strategy for Robust and Interpretable Rumor Analysis on Social Media. Yi-Ting Chang, Yun-Zhu Song, Yi-Syuan Chen, Hong-Han Shuai |
| 2023 | Beyond Factuality: A Comprehensive Evaluation of Large Language Models as Knowledge Generators. Liang Chen, Yang Deng, Yatao Bian, Zeyu Qin, Bingzhe Wu, Tat-Seng Chua, Kam-Fai Wong |
| 2023 | Beyond Shared Vocabulary: Increasing Representational Word Similarities across Languages for Multilingual Machine Translation. Di Wu, Christof Monz |
| 2023 | Bias Neutralization in Non-Parallel Texts: A Cyclic Approach with Auxiliary Guidance. Karthic Madanagopal, James Caverlee |
| 2023 | BiasX: "Thinking Slow" in Toxic Content Moderation with Explanations of Implied Social Biases. Yiming Zhang, Sravani Nanduri, Liwei Jiang, Tongshuang Wu, Maarten Sap |
| 2023 | BioFEG: Generate Latent Features for Biomedical Entity Linking. Xuhui Sui, Ying Zhang, Xiangrui Cai, Kehui Song, Baohang Zhou, Xiaojie Yuan, Wensheng Zhang |
| 2023 | BioPlanner: Automatic Evaluation of LLMs on Protocol Planning in Biology. Odhran O'Donoghue, Aleksandar Shtedritski, John Ginger, Ralph Abboud, Ali Essa Ghareeb, Samuel G. Rodriques |
| 2023 | BioT5: Enriching Cross-modal Integration in Biology with Chemical Knowledge and Natural Language Associations. Qizhi Pei, Wei Zhang, Jinhua Zhu, Kehan Wu, Kaiyuan Gao, Lijun Wu, Yingce Xia, Rui Yan |
| 2023 | Biomedical Named Entity Recognition via Dictionary-based Synonym Generalization. Zihao Fu, Yixuan Su, Zaiqiao Meng, Nigel Collier |
| 2023 | Boosting Summarization with Normalizing Flows and Aggressive Training. Yu Yang, Xiaotong Shen |
| 2023 | Bootstrapping Small & High Performance Language Models with Unmasking-Removal Training Policy. Yahan Yang, Elior Sulem, Insup Lee, Dan Roth |
| 2023 | Bridging Background Knowledge Gaps in Translation with Automatic Explicitation. HyoJung Han, Jordan L. Boyd-Graber, Marine Carpuat |
| 2023 | Bridging Continuous and Discrete Spaces: Interpretable Sentence Representation Learning via Compositional Operations. James Y. Huang, Wenlin Yao, Kaiqiang Song, Hongming Zhang, Muhao Chen, Dong Yu |
| 2023 | Bridging Information-Theoretic and Geometric Compression in Language Models. Emily Cheng, Corentin Kervadec, Marco Baroni |
| 2023 | Bridging the Digital Divide: Performance Variation across Socio-Economic Factors in Vision-Language Models. Joan Nwatu, Oana Ignat, Rada Mihalcea |
| 2023 | Bridging the Gap between Synthetic and Authentic Images for Multimodal Machine Translation. Wenyu Guo, Qingkai Fang, Dong Yu, Yang Feng |
| 2023 | Building Multi-domain Dialog State Trackers from Single-domain Dialogs. Qi Zhu, Zheng Zhang, Xiaoyan Zhu, Minlie Huang |
| 2023 | Building Persona Consistent Dialogue Agents with Offline Reinforcement Learning. Ryan Shea, Zhou Yu |
| 2023 | Byte Pair Encoding for Symbolic Music. Nathan Fradet, Nicolas Gutowski, Fabien Chhel, Jean-Pierre Briot |
| 2023 | ByteSized32: A Corpus and Challenge Task for Generating Task-Specific World Models Expressed as Text Games. Ruoyao Wang, Graham Todd, Xingdi Yuan, Ziang Xiao, Marc-Alexandre Côté, Peter A. Jansen |
| 2023 | C-STS: Conditional Semantic Textual Similarity. Ameet Deshpande, Carlos E. Jimenez, Howard Chen, Vishvak Murahari, Victoria Graf, Tanmay Rajpurohit, Ashwin Kalyan, Danqi Chen, Karthik Narasimhan |
| 2023 | CAPSTONE: Curriculum Sampling for Dense Retrieval with Document Expansion. Xingwei He, Yeyun Gong, A-Long Jin, Hang Zhang, Anlei Dong, Jian Jiao, Siu-Ming Yiu, Nan Duan |
| 2023 | CESAR: Automatic Induction of Compositional Instructions for Multi-turn Dialogs. Taha Aksu, Devamanyu Hazarika, Shikib Mehri, Seokhwan Kim, Dilek Hakkani-Tur, Yang Liu, Mahdi Namazifar |
| 2023 | CHEF in the Language Kitchen: A Generative Data Augmentation Leveraging Korean Morpheme Ingredients. Jaehyung Seo, Hyeonseok Moon, Jaewook Lee, Sugyeong Eo, Chanjun Park, Heuiseok Lim |
| 2023 | CLAD-ST: Contrastive Learning with Adversarial Data for Robust Speech Translation. Sathish Indurthi, Shamil Chollampatt, Ravi Agrawal, Marco Turchi |
| 2023 | CLAIR: Evaluating Image Captions with Large Language Models. David M. Chan, Suzanne Petryk, Joseph Gonzalez, Trevor Darrell, John F. Canny |
| 2023 | CLEME: Debiasing Multi-reference Evaluation for Grammatical Error Correction. Jingheng Ye, Yinghui Li, Qingyu Zhou, Yangning Li, Shirong Ma, Hai-Tao Zheng, Ying Shen |
| 2023 | CLEVR-Implicit: A Diagnostic Dataset for Implicit Reasoning in Referring Expression Comprehension. Jingwei Zhang, Xin Wu, Yi Cai |
| 2023 | COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation. Nan Wang, Qifan Wang, Yi-Chia Wang, Maziar Sanjabi, Jingzhou Liu, Hamed Firooz, Hongning Wang, Shaoliang Nie |
| 2023 | COHESENTIA: A Novel Benchmark of Incremental versus Holistic Assessment of Coherence in Generated Texts. Aviya Maimon, Reut Tsarfaty |
| 2023 | CORE: A Few-Shot Company Relation Classification Dataset for Robust Domain Adaptation. Philipp Borchert, Jochen De Weerdt, Kristof Coussement, Arno De Caigny, Marie-Francine Moens |
| 2023 | COVID-19 Vaccine Misinformation in Middle Income Countries. Jongin Kim, Byeo Bak, Aditya Agrawal, Jiaxi Wu, Veronika J. Wirtz, Traci Hong, Derry Wijaya |
| 2023 | CP-BCS: Binary Code Summarization Guided by Control Flow Graph and Pseudo Code. Tong Ye, Lingfei Wu, Tengfei Ma, Xuhong Zhang, Yangkai Du, Peiyu Liu, Shouling Ji, Wenhai Wang |
| 2023 | CQE: A Comprehensive Quantity Extractor. Satya Almasian, Vivian Kazakova, Philip Göldner, Michael Gertz |
| 2023 | CRAB: Assessing the Strength of Causal Relationships Between Real-world Events. Angelika Romanou, Syrielle Montariol, Debjit Paul, Léo Laugier, Karl Aberer, Antoine Bosselut |
| 2023 | CRT-QA: A Dataset of Complex Reasoning Question Answering over Tabular Data. Zhehao Zhang, Xitao Li, Yan Gao, Jian-Guang Lou |
| 2023 | CRUSH4SQL: Collective Retrieval Using Schema Hallucination For Text2SQL. Mayank Kothyari, Dhruva Dhingra, Sunita Sarawagi, Soumen Chakrabarti |
| 2023 | CRaSh: Clustering, Removing, and Sharing Enhance Fine-tuning without Full Large Language Model. Kaiyan Zhang, Ning Ding, Biqing Qi, Xuekai Zhu, Xinwei Long, Bowen Zhou |
| 2023 | CRoW: Benchmarking Commonsense Reasoning in Real-World Tasks. Mete Ismayilzada, Debjit Paul, Syrielle Montariol, Mor Geva, Antoine Bosselut |
| 2023 | CS2W: A Chinese Spoken-to-Written Style Conversion Dataset with Multiple Conversion Types. Zishan Guo, Linhao Yu, Minghui Xu, Renren Jin, Deyi Xiong |
| 2023 | CT-GAT: Cross-Task Generative Adversarial Attack based on Transferability. Minxuan Lv, Chengwei Dai, Kun Li, Wei Zhou, Songlin Hu |
| 2023 | Cabbage Sweeter than Cake? Analysing the Potential of Large Language Models for Learning Conceptual Spaces. Usashi Chatterjee, Amit Gajbhiye, Steven Schockaert |
| 2023 | Calc-X and Calcformers: Empowering Arithmetical Chain-of-Thought through Interaction with Symbolic Systems. Marek Kadlcík, Michal Stefánik, Ondrej Sotolár, Vlastimil Martinek |
| 2023 | Can LLMs Facilitate Interpretation of Pre-trained Language Models? Basel Mousi, Nadir Durrani, Fahim Dalvi |
| 2023 | Can LMs Generalize to Future Data? An Empirical Analysis on Text Summarization. Chi Seng Cheang, Hou Pong Chan, Derek F. Wong, Xuebo Liu, Zhaocong Li, Yanming Sun, Shudong Liu, Lidia S. Chao |
| 2023 | Can Language Models Laugh at YouTube Short-form Videos? Dayoon Ko, Sangho Lee, Gunhee Kim |
| 2023 | Can Language Models Understand Physical Concepts? Lei Li, Jingjing Xu, Qingxiu Dong, Ce Zheng, Xu Sun, Lingpeng Kong, Qi Liu |
| 2023 | Can Large Language Models Capture Dissenting Human Voices? Noah Lee, Na An, James Thorne |
| 2023 | Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions? Yang Chen, Hexiang Hu, Yi Luan, Haitian Sun, Soravit Changpinyo, Alan Ritter, Ming-Wei Chang |
| 2023 | Can We Edit Factual Knowledge by In-Context Learning? Ce Zheng, Lei Li, Qingxiu Dong, Yuxuan Fan, Zhiyong Wu, Jingjing Xu, Baobao Chang |
| 2023 | Can We Edit Multimodal Large Language Models? Siyuan Cheng, Bozhong Tian, Qingbin Liu, Xi Chen, Yongheng Wang, Huajun Chen, Ningyu Zhang |
| 2023 | Can You Follow Me? Testing Situational Understanding for ChatGPT. Chenghao Yang, Allyson Ettinger |
| 2023 | Can language models learn analogical reasoning? Investigating training objectives and comparisons to human performance. Molly R. Petersen, Lonneke van der Plas |
| 2023 | CaseEncoder: A Knowledge-enhanced Pre-trained Model for Legal Case Encoding. Yixiao Ma, Yueyue Wu, Weihang Su, Qingyao Ai, Yiqun Liu |
| 2023 | Causal Document-Grounded Dialogue Pre-training. Yingxiu Zhao, Bowen Yu, Bowen Li, Haiyang Yu, Jinyang Li, Chao Wang, Fei Huang, Yongbin Li, Nevin L. Zhang |
| 2023 | Causal Reasoning through Two Cognition Layers for Improving Generalization in Visual Question Answering. Trang Nguyen, Naoaki Okazaki |
| 2023 | Centering the Margins: Outlier-Based Identification of Harmed Populations in Toxicity Detection. Vyoma Raman, Eve Fleisig, Dan Klein |
| 2023 | Chain-of-Questions Training with Latent Answers for Robust Multistep Question Answering. Wang Zhu, Jesse Thomason, Robin Jia |
| 2023 | Chain-of-Thought Tuning: Masked Language Models can also Think Step By Step in Natural Language Understanding. Caoyun Fan, Jidong Tian, Yitian Li, Wenqing Chen, Hao He, Yaohui Jin |
| 2023 | Challenges in Context-Aware Neural Machine Translation. Linghao Jin, Jacqueline He, Jonathan May, Xuezhe Ma |
| 2023 | Character-LLM: A Trainable Agent for Role-Playing. Yunfan Shao, Linyang Li, Junqi Dai, Xipeng Qiu |
| 2023 | Characterizing Mechanisms for Factual Recall in Language Models. Qinan Yu, Jack Merullo, Ellie Pavlick |
| 2023 | Characterizing and Verifying Scientific Claims: Qualitative Causal Structure is All You Need. Jinxuan Wu, Wenhan Chao, Xian Zhou, Zhunchen Luo |
| 2023 | ChatEdit: Towards Multi-turn Interactive Facial Image Editing via Dialogue. Xing Cui, Zekun Li, Pei Li, Yibo Hu, Hailin Shi, Chunshui Cao, Zhaofeng He |
| 2023 | ChatGPT to Replace Crowdsourcing of Paraphrases for Intent Classification: Higher Diversity and Comparable Model Robustness. Ján Cegin, Jakub Simko, Peter Brusilovsky |
| 2023 | Chinese Lexical Substitution: Dataset and Method. Jipeng Qiang, Kang Liu, Ying Li, Yun Li, Yi Zhu, Yun-Hao Yuan, Xiaocheng Hu, Xiaoye Ouyang |
| 2023 | CiteBench: A Benchmark for Scientific Citation Text Generation. Martin Funkquist, Ilia Kuznetsov, Yufang Hou, Iryna Gurevych |
| 2023 | CleanCoNLL: A Nearly Noise-Free Named Entity Recognition Dataset. Susanna Rücker, Alan Akbik |
| 2023 | ClimateBERT-NetZero: Detecting and Assessing Net Zero and Reduction Targets. Tobias Schimanski, Julia Anna Bingler, Mathias Kraus, Camilla Hyslop, Markus Leippold |
| 2023 | Clinical Contradiction Detection. Dave Makhervaks, Plia Gillis, Kira Radinsky |
| 2023 | ClusterLLM: Large Language Models as a Guide for Text Clustering. Yuwei Zhang, Zihan Wang, Jingbo Shang |
| 2023 | Clustering Pseudo Language Family in Multilingual Translation Models with Fisher Information Matrix. Xinyu Ma, Xuebo Liu, Min Zhang |
| 2023 | CoAnnotating: Uncertainty-Guided Work Allocation between Human and Large Language Models for Data Annotation. Minzhi Li, Taiwei Shi, Caleb Ziems, Min-Yen Kan, Nancy F. Chen, Zhengyuan Liu, Diyi Yang |
| 2023 | CoCo: Coherence-Enhanced Machine-Generated Text Detection Under Low Resource With Contrastive Learning. Xiaoming Liu, Zhaohan Zhang, Yichen Wang, Hang Pu, Yu Lan, Chao Shen |
| 2023 | CoF-CoT: Enhancing Large Language Models with Coarse-to-Fine Chain-of-Thought Prompting for Multi-domain NLU Tasks. Hoang Nguyen, Ye Liu, Chenwei Zhang, Tao Zhang, Philip S. Yu |
| 2023 | CoLT5: Faster Long-Range Transformers with Conditional Computation. Joshua Ainslie, Tao Lei, Michiel de Jong, Santiago Ontañón, Siddhartha Brahma, Yury Zemlyanskiy, David C. Uthus, Mandy Guo, James Lee-Thorp, Yi Tay, Yun-Hsuan Sung, Sumit Sanghai |
| 2023 | CoMPosT: Characterizing and Evaluating Caricature in LLM Simulations. Myra Cheng, Tiziano Piccardi, Diyi Yang |
| 2023 | CoRec: An Easy Approach for Coordination Recognition. Qing Wang, Haojie Jia, Wenfei Song, Qi Li |
| 2023 | CoSyn: Detecting Implicit Hate Speech in Online Conversations Using a Context Synergized Hyperbolic Network. Sreyan Ghosh, Manan Suri, Purva Chiniya, Utkarsh Tyagi, Sonal Kumar, Dinesh Manocha |
| 2023 | Coarse-to-Fine Contrastive Learning in Image-Text-Graph Space for Improved Vision-Language Compositionality. Harman Singh, Pengchuan Zhang, Qifan Wang, Mengjiao Wang, Wenhan Xiong, Jingfei Du, Yu Chen |
| 2023 | Code-Switching Metrics Using Intonation Units. Rebecca Pattichis, Dora LaCasse, Sonya Trawick, Rena Cacoullos |
| 2023 | CodeBERTScore: Evaluating Code Generation with Pretrained Models of Code. Shuyan Zhou, Uri Alon, Sumit Agarwal, Graham Neubig |
| 2023 | CodeFusion: A Pre-trained Diffusion Model for Code Generation. Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Carina Negreanu, Gust Verbruggen |
| 2023 | CodeT5+: Open Code Large Language Models for Code Understanding and Generation. Yue Wang, Hung Le, Akhilesh Gotmare, Nghi D. Q. Bui, Junnan Li, Steven C. H. Hoi |
| 2023 | Cognate Transformer for Automated Phonological Reconstruction and Cognate Reflex Prediction. V. S. D. S. Mahesh Akavarapu, Arnab Bhattacharya |
| 2023 | Cognitive Dissonance: Why Do Language Model Outputs Disagree with Internal Representations of Truthfulness? Kevin Liu, Stephen Casper, Dylan Hadfield-Menell, Jacob Andreas |
| 2023 | Collaborative Generative AI: Integrating GPT-k for Efficient Editing in Text-to-Image Generation. Wanrong Zhu, Xinyi Wang, Yujie Lu, Tsu-Jui Fu, Xin Wang, Miguel P. Eckstein, William Wang |
| 2023 | CombLM: Adapting Black-Box Language Models through Small Fine-Tuned Models. Aitor Ormazabal, Mikel Artetxe, Eneko Agirre |
| 2023 | Combining Denoising Autoencoders with Contrastive Learning to fine-tune Transformer Models. Alejo Lopez-Avila, Víctor Suárez-Paniagua |
| 2023 | Comparing Biases and the Impact of Multilingual Training across Multiple Languages. Sharon Levy, Neha Anna John, Ling Liu, Yogarshi Vyas, Jie Ma, Yoshinari Fujinuma, Miguel Ballesteros, Vittorio Castelli, Dan Roth |
| 2023 | Comparing Styles across Languages. Shreya Havaldar, Matthew Pressimone, Eric Wong, Lyle H. Ungar |
| 2023 | Composable Text Controls in Latent Space with ODEs. Guangyi Liu, Zeyu Feng, Yuan Gao, Zichao Yang, Xiaodan Liang, Junwei Bao, Xiaodong He, Shuguang Cui, Zhen Li, Zhiting Hu |
| 2023 | CompoundPiece: Evaluating and Improving Decompounding Performance of Language Models. Benjamin Minixhofer, Jonas Pfeiffer, Ivan Vulic |
| 2023 | Compressing Context to Enhance Inference Efficiency of Large Language Models. Yucheng Li, Bo Dong, Frank Guerin, Chenghua Lin |
| 2023 | Compressing and Debiasing Vision-Language Pre-Trained Models for Visual Question Answering. Qingyi Si, Yuanxin Liu, Zheng Lin, Peng Fu, Yanan Cao, Weiping Wang |
| 2023 | Conceptor-Aided Debiasing of Large Language Models. Yifei Li, Lyle H. Ungar, João Sedoc |
| 2023 | Conceptual structure coheres in human cognition but not in large language models. Siddharth Suresh, Kushin Mukherjee, Xizheng Yu, Wei-Chun Huang, Lisa Padua, Timothy T. Rogers |
| 2023 | Condensing Multilingual Knowledge with Lightweight Language-Specific Modules. Haoran Xu, Weiting Tan, Shuyue Stella Li, Yunmo Chen, Benjamin Van Durme, Philipp Koehn, Kenton Murray |
| 2023 | Confidence-based Ensembling of Perspective-aware Models. Silvia Casola, Soda Marem Lo, Valerio Basile, Simona Frenda, Alessandra Teresa Cignarella, Viviana Patti, Cristina Bosco |
| 2023 | Connecting degree and polarity: An artificial language learning study. Lisa Bylinina, Alexey Tikhonov, Ekaterina Garmash |
| 2023 | Consistency Analysis of ChatGPT. Myeongjun Jang, Thomas Lukasiewicz |
| 2023 | Construction Artifacts in Metaphor Identification Datasets. Joanne Boisson, Luis Espinosa Anke, José Camacho-Collados |
| 2023 | Content- and Topology-Aware Representation Learning for Scientific Multi-Literature. Kai Zhang, Kaisong Song, Yangyang Kang, Xiaozhong Liu |
| 2023 | Context Compression for Auto-regressive Transformers with Sentinel Tokens. Siyu Ren, Qi Jia, Kenny Q. Zhu |
| 2023 | Contextual Interaction for Argument Post Quality Assessment. Yiran Wang, Xuanang Chen, Ben He, Le Sun |
| 2023 | Continual Dialogue State Tracking via Example-Guided Question Answering. Hyundong Cho, Andrea Madotto, Zhaojiang Lin, Khyathi Raghavi Chandu, Satwik Kottur, Jing Xu, Jonathan May, Chinnadhurai Sankar |
| 2023 | Continual Event Extraction with Semantic Confusion Rectification. Zitao Wang, Xinyi Wang, Wei Hu |
| 2023 | Continual Learning for Multilingual Neural Machine Translation via Dual Importance-based Model Division. Junpeng Liu, Kaiyu Huang, Hao Yu, JiuYi Li, Jinsong Su, Degen Huang |
| 2023 | Continual Named Entity Recognition without Catastrophic Forgetting. Duzhen Zhang, Wei Cong, Jiahua Dong, Yahan Yu, Xiuyi Chen, Yonggang Zhang, Zhen Fang |
| 2023 | Continually Improving Extractive QA via Human Feedback. Ge Gao, Hung-Ting Chen, Yoav Artzi, Eunsol Choi |
| 2023 | Contrastive Learning for Inference in Dialogue. Etsuko Ishii, Yan Xu, Bryan Wilie, Ziwei Ji, Holy Lovenia, Willy Chung, Pascale Fung |
| 2023 | Contrastive Learning of Sentence Embeddings from Scratch. Junlei Zhang, Zhenzhong Lan, Junxian He |
| 2023 | Controllable Contrastive Generation for Multilingual Biomedical Entity Linking. Tiantian Zhu, Yang Qin, Qingcai Chen, Xin Mu, Changlong Yu, Yang Xiang |
| 2023 | Controlling Pre-trained Language Models for Grade-Specific Text Simplification. Sweta Agrawal, Marine Carpuat |
| 2023 | Conversation Chronicles: Towards Diverse Temporal and Relational Dynamics in Multi-Session Conversations. Jihyoung Jang, Minseong Boo, Hyounghun Kim |
| 2023 | Conversation Understanding using Relational Temporal Graph Neural Networks with Auxiliary Cross-Modality Interaction. Cam-Van Thi Nguyen, Anh-Tuan Mai, The-Son Le, Hai-Dang Kieu, Duc-Trong Le |
| 2023 | Conversational Semantic Parsing using Dynamic Context Graphs. Parag Jain, Mirella Lapata |
| 2023 | Copyright Violations and Large Language Models. Antonia Karamolegkou, Jiaang Li, Li Zhou, Anders Søgaard |
| 2023 | CorefPrompt: Prompt-based Event Coreference Resolution by Measuring Event Type and Argument Compatibilities. Sheng Xu, Peifeng Li, Qiaoming Zhu |
| 2023 | Counter Turing Test (CT2): AI-Generated Text Detection is Not as Easy as You May Think - Introducing AI Detectability Index (ADI). Megha Chakraborty, S. M. Towhidul Islam Tonmoy, S. M. Mehedi Zaman, Shreya Gautam, Tanay Kumar, Krish Sharma, Niyar R. Barman, Chandan Gupta, Vinija Jain, Aman Chadha, Amit P. Sheth, Amitava Das |
| 2023 | Countering Misinformation via Emotional Response Generation. Daniel Russo, Shane P. Kaszefski-Yaschuk, Jacopo Staiano, Marco Guerini |
| 2023 | Counting the Bugs in ChatGPT's Wugs: A Multilingual Investigation into the Morphological Capabilities of a Large Language Model. Leonie Weissweiler, Valentin Hofmann, Anjali Kantharuban, Anna Cai, Ritam Dutt, Amey Hengle, Anubha Kabra, Atharva Kulkarni, Abhishek Vijayakumar, Haofei Yu, Hinrich Schütze, Kemal Oflazer, David R. Mortensen |
| 2023 | Critic-Driven Decoding for Mitigating Hallucinations in Data-to-text Generation. Mateusz Lango, Ondrej Dusek |
| 2023 | Cross-Cultural Analysis of Human Values, Morals, and Biases in Folk Tales. Winston Wu, Lu Wang, Rada Mihalcea |
| 2023 | Cross-Document Event Coreference Resolution on Discourse Structure. Xinyu Chen, Sheng Xu, Peifeng Li, Qiaoming Zhu |
| 2023 | Cross-Lingual Consistency of Factual Knowledge in Multilingual Language Models. Jirui Qi, Raquel Fernández, Arianna Bisazza |
| 2023 | Cross-Lingual Cross-Target Stance Detection with Dual Knowledge Distillation Framework. Ruike Zhang, Hanxuan Yang, Wenji Mao |
| 2023 | Cross-Modal Conceptualization in Bottleneck Models. Danis Alukaev, Semen Kiselev, Ilya Pershin, Bulat Ibragimov, Vladimir Ivanov, Alexey Kornaev, Ivan Titov |
| 2023 | Cross-lingual Prompting: Improving Zero-shot Chain-of-Thought Reasoning across Languages. Libo Qin, Qiguang Chen, Fuxuan Wei, Shijue Huang, Wanxiang Che |
| 2023 | Cross-lingual Transfer Can Worsen Bias in Sentiment Analysis. Seraphina Goldfarb-Tarrant, Björn Ross, Adam Lopez |
| 2023 | Crossing the Threshold: Idiomatic Machine Translation through Retrieval Augmentation and Loss Weighting. Emmy Liu, Aditi Chaudhary, Graham Neubig |
| 2023 | Crystal: Introspective Reasoners Reinforced with Self-Feedback. Jiacheng Liu, Ramakanth Pasunuru, Hannaneh Hajishirzi, Yejin Choi, Asli Celikyilmaz |
| 2023 | Cultural Concept Adaptation on Multimodal Reasoning. Zhi Li, Yin Zhang |
| 2023 | DADA: Dialect Adaptation via Dynamic Aggregation of Linguistic Rules. Yanchen Liu, William Barr Held, Diyi Yang |
| 2023 | DALE: Generative Data Augmentation for Low-Resource Legal NLP. Sreyan Ghosh, Chandra Kiran Reddy Evuru, Sonal Kumar, Ramaneswaran S., Sakshi Singh, Utkarsh Tyagi, Dinesh Manocha |
| 2023 | DEPN: Detecting and Editing Privacy Neurons in Pretrained Language Models. Xinwei Wu, Junzhuo Li, Minghui Xu, Weilong Dong, Shuangzhi Wu, Chao Bian, Deyi Xiong |
| 2023 | DIVE: Towards Descriptive and Diverse Visual Commonsense Generation. Jun-Hyung Park, Hyuntae Park, Youjin Kang, Eojin Jeon, SangKeun Lee |
| 2023 | DNA: Denoised Neighborhood Aggregation for Fine-grained Category Discovery. Wenbin An, Feng Tian, Wenkai Shi, Yan Chen, Qinghua Zheng, Qianying Wang, Ping Chen |
| 2023 | DPP-TTS: Diversifying prosodic features of speech via determinantal point processes. Seongho Joo, Hyukhun Koh, Kyomin Jung |
| 2023 | DREAM: Deployment of Recombination and Ensembles in Argument Mining. Florian Ruosch, Cristina Sarasua, Abraham Bernstein |
| 2023 | DSI++: Updating Transformer Memory with New Documents. Sanket Vaibhav Mehta, Jai Gupta, Yi Tay, Mostafa Dehghani, Vinh Q. Tran, Jinfeng Rao, Marc Najork, Emma Strubell, Donald Metzler |
| 2023 | DUMB: A Dutch Model Benchmark. Wietse de Vries, Martijn Wieling, Malvina Nissim |
| 2023 | DUnE: Dataset for Unified Editing. Afra Feyza Akyürek, Eric Pan, Garry Kuwanto, Derry Wijaya |
| 2023 | Dancing Between Success and Failure: Edit-level Simplification Evaluation using SALSA. David Heineman, Yao Dou, Mounica Maddela, Wei Xu |
| 2023 | Data Factors for Better Compositional Generalization. Xiang Zhou, Yichen Jiang, Mohit Bansal |
| 2023 | Data Similarity is Not Enough to Explain Language Model Performance. Gregory Yauney, Emily Reif, David Mimno |
| 2023 | DeSIQ: Towards an Unbiased, Challenging Benchmark for Social Intelligence Understanding. Xiaoyu Guo, Yuan-Fang Li, Gholamreza Haffari |
| 2023 | Debiasing Made State-of-the-art: Revisiting the Simple Seed-based Weak Supervision for Text Classification. Chengyu Dong, Zihan Wang, Jingbo Shang |
| 2023 | DecipherPref: Analyzing Influential Factors in Human Preference Judgments via GPT-4. Yebowen Hu, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Hassan Foroosh, Fei Liu |
| 2023 | Deciphering Stereotypes in Pre-Trained Language Models. Weicheng Ma, Henry Scheible, Brian Wang, Goutham Veeramachaneni, Pratim Chowdhary, Alan Sun, Andrew Koulogeorge, Lili Wang, Diyi Yang, Soroush Vosoughi |
| 2023 | DecoMT: Decomposed Prompting for Machine Translation Between Related Languages using Large Language Models. Ratish Puduppully, Anoop Kunchukuttan, Raj Dabre, Ai Ti Aw, Nancy Chen |
| 2023 | Decoding the Silent Majority: Inducing Belief Augmented Social Graph with Large Language Model for Response Forecasting. Chenkai Sun, Jinning Li, Yi Ren Fung, Hou Pong Chan, Tarek F. Abdelzaher, ChengXiang Zhai, Heng Ji |
| 2023 | Deep Natural Language Feature Learning for Interpretable Prediction. Felipe Urrutia, Cristian Buc Calderon, Valentin Barrière |
| 2023 | Democratizing Reasoning Ability: Tailored Learning from Large Language Model. Zhaoyang Wang, Shaohan Huang, Yuxuan Liu, Jiahai Wang, Minghui Song, Zihan Zhang, Haizhen Huang, Furu Wei, Weiwei Deng, Feng Sun, Qi Zhang |
| 2023 | Describe Me an Auklet: Generating Grounded Perceptual Category Descriptions. Bill Noble, Nikolai Ilinykh |
| 2023 | DetGPT: Detect What You Need via Reasoning. Renjie Pi, Jiahui Gao, Shizhe Diao, Rui Pan, Hanze Dong, Jipeng Zhang, Lewei Yao, Jianhua Han, Hang Xu, Lingpeng Kong, Tong Zhang |
| 2023 | Detecting Propaganda Techniques in Code-Switched Social Media Text. Muhammad Umar Salman, Asif Hanif, Shady Shehata, Preslav Nakov |
| 2023 | Detecting Spoilers in Movie Reviews with External Movie Knowledge and User Networks. Heng Wang, Wenqian Zhang, Yuyang Bai, Zhaoxuan Tan, Shangbin Feng, Qinghua Zheng, Minnan Luo |
| 2023 | Detecting and Mitigating Hallucinations in Multilingual Summarisation. Yifu Qiu, Yftah Ziser, Anna Korhonen, Edoardo Maria Ponti, Shay B. Cohen |
| 2023 | Detection of Multiple Mental Disorders from Social Media with Two-Stream Psychiatric Experts. Siyuan Chen, Zhiling Zhang, Mengyue Wu, Kenny Q. Zhu |
| 2023 | DiNeR: A Large Realistic Dataset for Evaluating Compositional Generalization. Chengang Hu, Xiao Liu, Yansong Feng |
| 2023 | DiSTRICT: Dialogue State Tracking with Retriever Driven In-Context Tuning. Praveen Venkateswaran, Evelyn Duesterwald, Vatche Isahagian |
| 2023 | DialCoT Meets PPO: Decomposing and Exploring Reasoning Paths in Smaller Language Models. Chengcheng Han, Xiaowei Du, Che Zhang, Yixin Lian, Xiang Li, Ming Gao, Baoyuan Wang |
| 2023 | Dialogizer: Context-aware Conversational-QA Dataset Generation from Textual Sources. Yerin Hwang, Yongil Kim, Hyunkyung Bae, Hwanhee Lee, Jeesoo Bang, Kyomin Jung |
| 2023 | Dialogue Chain-of-Thought Distillation for Commonsense-aware Conversational Agents. Hyungjoo Chae, Yongho Song, Kai Tzu-iunn Ong, Taeyoon Kwon, Minjin Kim, Youngjae Yu, Dongha Lee, Dongyeop Kang, Jinyoung Yeo |
| 2023 | Did You Mean...? Confidence-based Trade-offs in Semantic Parsing. Elias Stengel-Eskin, Benjamin Van Durme |
| 2023 | DiffS2UT: A Semantic Preserving Diffusion Model for Textless Direct Speech-to-Speech Translation. Yongxin Zhu, Zhujin Gao, Xinyuan Zhou, Zhongyi Ye, Linli Xu |
| 2023 | DisCo: Distilled Student Models Co-training for Semi-supervised Text Mining. Weifeng Jiang, Qianren Mao, Chenghua Lin, Jianxin Li, Ting Deng, Weiyi Yang, Zheng Wang |
| 2023 | Discourse Structures Guided Fine-grained Propaganda Identification. Yuanyuan Lei, Ruihong Huang |
| 2023 | Discovering Universal Geometry in Embeddings with ICA. Hiroaki Yamagiwa, Momose Oyama, Hidetoshi Shimodaira |
| 2023 | Disentangling Transformer Language Models as Superposed Topic Models. Jia Peng Lim, Hady W. Lauw |
| 2023 | Dissecting Recall of Factual Associations in Auto-Regressive Language Models. Mor Geva, Jasmijn Bastings, Katja Filippova, Amir Globerson |
| 2023 | Distance-Based Propagation for Efficient Knowledge Graph Reasoning. Harry Shomer, Yao Ma, Juanhui Li, Bo Wu, Charu C. Aggarwal, Jiliang Tang |
| 2023 | Ditto: A Simple and Efficient Approach to Improve Sentence Embeddings. Qian Chen, Wen Wang, Qinglin Zhang, Siqi Zheng, Chong Deng, Hai Yu, Jiaqing Liu, Yukun Ma, Chong Zhang |
| 2023 | Diversify Question Generation with Retrieval-Augmented Style Transfer. Qi Gou, Zehua Xia, Bowen Yu, Haiyang Yu, Fei Huang, Yongbin Li, Cam-Tu Nguyen |
| 2023 | Diversity Enhanced Narrative Question Generation for Storybooks. Hokeun Yoon, JinYeong Bak |
| 2023 | Do All Languages Cost the Same? Tokenization in the Era of Commercial Language Models. Orevaoghene Ahia, Sachin Kumar, Hila Gonen, Jungo Kasai, David R. Mortensen, Noah A. Smith, Yulia Tsvetkov |
| 2023 | Do Differences in Values Influence Disagreements in Online Discussions? Michiel van der Meer, Piek Vossen, Catholijn M. Jonker, Pradeep K. Murukannaiah |
| 2023 | Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SocKET Benchmark. Minje Choi, Jiaxin Pei, Sagar Kumar, Chang Shu, David Jurgens |
| 2023 | Do Language Models Have a Common Sense regarding Time? Revisiting Temporal Commonsense Reasoning in the Era of Large Language Models. Raghav Jain, Daivik Sojitra, Arkadeep Acharya, Sriparna Saha, Adam Jatowt, Sandipan Dandapat |
| 2023 | Do Transformers Parse while Predicting the Masked Word? Haoyu Zhao, Abhishek Panigrahi, Rong Ge, Sanjeev Arora |
| 2023 | Document-Level Machine Translation with Large Language Models. Longyue Wang, Chenyang Lyu, Tianbo Ji, Zhirui Zhang, Dian Yu, Shuming Shi, Zhaopeng Tu |
| 2023 | Document-level Relationship Extraction by Bidirectional Constraints of Beta Rules. Yichun Liu, Zizhong Zhu, Xiaowang Zhang, Zhiyong Feng, Daoqi Chen, Yaxin Li |
| 2023 | Does the Correctness of Factual Knowledge Matter for Factual Knowledge-Enhanced Pre-trained Language Models? Boxi Cao, Qiaoyu Tang, Hongyu Lin, Xianpei Han, Le Sun |
| 2023 | Don't Take This Out of Context!: On the Need for Contextual Models and Evaluations for Stylistic Rewriting. Akhila Yerukola, Xuhui Zhou, Elizabeth Clark, Maarten Sap |
| 2023 | Don't Trust ChatGPT when your Question is not in English: A Study of Multilingual Abilities and Types of LLMs. Xiang Zhang, Senyu Li, Bradley Hauer, Ning Shi, Grzegorz Kondrak |
| 2023 | Doolittle: Benchmarks and Corpora for Academic Writing Formalization. Shizhe Diao, Yongyu Lei, Liangming Pan, Tianqing Fang, Wangchunshu Zhou, Sedrick Scott Keh, Min-Yen Kan, Tong Zhang |
| 2023 | Dr ChatGPT tell me what I want to hear: How different prompts impact health answer correctness. Bevan Koopman, Guido Zuccon |
| 2023 | Dual-Channel Span for Aspect Sentiment Triplet Extraction. Pan Li, Ping Li, Kai Zhang |
| 2023 | Dual-Feedback Knowledge Retrieval for Task-Oriented Dialogue Systems. Tianyuan Shi, Liangzhi Li, Zijian Lin, Tao Yang, Xiaojun Quan, Qifan Wang |
| 2023 | DueT: Image-Text Contrastive Transfer Learning with Dual-adapter Tuning. Taku Hasegawa, Kyosuke Nishida, Koki Maeda, Kuniko Saito |
| 2023 | Dynamic Top-k Estimation Consolidates Disagreement between Feature Attribution Methods. Jonathan Kamp, Lisa Beinborn, Antske Fokkens |
| 2023 | Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation. Da Yin, Xiao Liu, Fan Yin, Ming Zhong, Hritik Bansal, Jiawei Han, Kai-Wei Chang |
| 2023 | E-CORE: Emotion Correlation Enhanced Empathetic Dialogue Generation. Fengyi Fu, Lei Zhang, Quan Wang, Zhendong Mao |
| 2023 | EDIS: Entity-Driven Image Search over Multimodal Web Content. Siqi Liu, Weixi Feng, Tsu-Jui Fu, Wenhu Chen, William Wang |
| 2023 | EDeR: Towards Understanding Dependency Relations Between Events. Ruiqi Li, Patrik Haslum, Leyang Cui |
| 2023 | EXPLAIN, EDIT, GENERATE: Rationale-Sensitive Counterfactual Data Augmentation for Multi-hop Fact Verification. Yingjie Zhu, Jiasheng Si, Yibo Zhao, Haiyang Zhu, Deyu Zhou, Yulan He |
| 2023 | EasyQuant: An Efficient Data-free Quantization Algorithm for LLMs. Hanlin Tang, Yifu Sun, Decheng Wu, Kai Liu, Jianchen Zhu, Zhanhui Kang |
| 2023 | Editing Common Sense in Transformers. Anshita Gupta, Debanjan Mondal, Akshay Krishna Sheshadri, Wenlong Zhao, Xiang Li, Sarah Wiegreffe, Niket Tandon |
| 2023 | Editing Large Language Models: Problems, Methods, and Opportunities. Yunzhi Yao, Peng Wang, Bozhong Tian, Siyuan Cheng, Zhoubo Li, Shumin Deng, Huajun Chen, Ningyu Zhang |
| 2023 | Effects of sub-word segmentation on performance of transformer language models. Jue Hou, Anisia Katinskaia, Anh-Duc Vu, Roman Yangarber |
| 2023 | Efficient Algorithms for Recognizing Weighted Tree-Adjoining Languages. Alexandra Butoi, Tim Vieira, Ryan Cotterell, David Chiang |
| 2023 | Efficient Classification of Long Documents via State-Space Models. Peng Lu, Suyuchen Wang, Mehdi Rezagholizadeh, Bang Liu, Ivan Kobyzev |
| 2023 | Efficient Grammatical Error Correction Via Multi-Task Training and Optimized Training Schedule. Andrey Bout, Alexander Podolskiy, Sergey I. Nikolenko, Irina Piontkovskaya |
| 2023 | Elaborative Simplification as Implicit Questions Under Discussion. Yating Wu, William Sheffield, Kyle Mahowald, Junyi Jessy Li |
| 2023 | Elevating Code-mixed Text Handling through Auditory Information of Words. Mamta, Zishan Ahmad, Asif Ekbal |
| 2023 | Emergence of Abstract State Representations in Embodied Sequence Modeling. Tian Yun, Zilai Zeng, Kunal Handa, Ashish V. Thapliyal, Bo Pang, Ellie Pavlick, Chen Sun |
| 2023 | Empathy Intent Drives Empathy Detection. Liting Jiang, Di Wu, Bohui Mao, Yanbing Li, Wushour Slamu |
| 2023 | Empirical Study of Zero-Shot NER with ChatGPT. Tingyu Xie, Qi Li, Jian Zhang, Yan Zhang, Zuozhu Liu, Hongwei Wang |
| 2023 | Empower Nested Boolean Logic via Self-Supervised Curriculum Learning. Hongqiu Wu, Linfeng Liu, Hai Zhao, Min Zhang |
| 2023 | Enabling Large Language Models to Generate Text with Citations. Tianyu Gao, Howard Yen, Jiatong Yu, Danqi Chen |
| 2023 | End-to-End Single-Channel Speaker-Turn Aware Conversational Speech Translation. Juan Pablo Zuluaga-Gomez, Zhaocheng Huang, Xing Niu, Rohit Paturi, Sundararajan Srinivasan, Prashant Mathur, Brian Thompson, Marcello Federico |
| 2023 | End-to-end Task-oriented Dialogue: A Survey of Tasks, Methods, and Future Directions. Libo Qin, Wenbo Pan, Qiguang Chen, Lizi Liao, Zhou Yu, Yue Zhang, Wanxiang Che, Min Li |
| 2023 | Enhancing Biomedical Lay Summarisation with External Knowledge Graphs. Tomas Goldsack, Zhihao Zhang, Chen Tang, Carolina Scarton, Chenghua Lin |
| 2023 | Enhancing Chat Language Models by Scaling High-quality Instructional Conversations. Ning Ding, Yulin Chen, Bokai Xu, Yujia Qin, Shengding Hu, Zhiyuan Liu, Maosong Sun, Bowen Zhou |
| 2023 | Enhancing Code-Switching for Cross-lingual SLU: A Unified View of Semantic and Grammatical Coherence. Zhihong Zhu, Xuxin Cheng, Zhiqi Huang, Dongsheng Chen, Yuexian Zou |
| 2023 | Enhancing Computation Efficiency in Large Language Models through Weight and Activation Quantization. Janghwan Lee, Minsoo Kim, Seungcheol Baek, Seok Joong Hwang, Wonyong Sung, Jungwook Choi |
| 2023 | Enhancing Generative Retrieval with Reinforcement Learning from Relevance Feedback. Yujia Zhou, Zhicheng Dou, Ji-Rong Wen |
| 2023 | Enhancing Low-resource Fine-grained Named Entity Recognition by Leveraging Coarse-grained Datasets. Su Ah Lee, Seokjin Oh, Woohwan Jung |
| 2023 | Enhancing Structured Evidence Extraction for Fact Verification. Zirui Wu, Nan Hu, Yansong Feng |
| 2023 | Enhancing Task-oriented Dialogue Systems with Generative Post-processing Networks. Atsumoto Ohashi, Ryuichiro Higashinaka |
| 2023 | Enhancing Textbooks with Visuals from the Web for Improved Learning. Janvijay Singh, Vilém Zouhar, Mrinmaya Sachan |
| 2023 | Enhancing Uncertainty-Based Hallucination Detection with Stronger Focus. Tianhang Zhang, Lin Qiu, Qipeng Guo, Cheng Deng, Yue Zhang, Zheng Zhang, Chenghu Zhou, Xinbing Wang, Luoyi Fu |
| 2023 | Enhancing the Ranking Context of Dense Retrieval through Reciprocal Nearest Neighbors. George Zerveas, Navid Rekabsaz, Carsten Eickhoff |
| 2023 | EntSUMv2: Dataset, Models and Evaluation for More Abstractive Entity-Centric Summarization. Dhruv Mehra, Lingjue Xie, Ella Hofmann-Coyle, Mayank Kulkarni, Daniel Preotiuc-Pietro |
| 2023 | EpiK-Eval: Evaluation for Language Models as Epistemic Models. Gabriele Prato, Jerry Huang, Prasanna Parthasarathi, Shagun Sodhani, Sarath Chandar |
| 2023 | Establishing Trustworthiness: Rethinking Tasks and Model Evaluation. Robert Litschko, Max Müller-Eberstein, Rob van der Goot, Leon Weber-Genzel, Barbara Plank |
| 2023 | EtiCor: Corpus for Analyzing LLMs for Etiquettes. Ashutosh Dwivedi, Pradhyumna Lavania, Ashutosh Modi |
| 2023 | Euphemistic Abuse - A New Dataset and Classification Experiments for Implicitly Abusive Language. Michael Wiegand, Jana Kampfmeier, Elisabeth Eder, Josef Ruppenhofer |
| 2023 | Evaluating Bias and Fairness in Gender-Neutral Pretrained Vision-and-Language Models. Laura Cabello, Emanuele Bugliarello, Stephanie Brandl, Desmond Elliott |
| 2023 | Evaluating Cross-Domain Text-to-SQL Models and Benchmarks. Mohammadreza Pourreza, Davood Rafiei |
| 2023 | Evaluating Evaluation Metrics: A Framework for Analyzing NLG Evaluation Metrics using Measurement Theory. Ziang Xiao, Susu Zhang, Vivian Lai, Q. Vera Liao |
| 2023 | Evaluating Large Language Models on Controlled Generation Tasks. Jiao Sun, Yufei Tian, Wangchunshu Zhou, Nan Xu, Qian Hu, Rahul Gupta, John Frederick Wieting, Nanyun Peng, Xuezhe Ma |
| 2023 | Evaluating Object Hallucination in Large Vision-Language Models. Yifan Li, Yifan Du, Kun Zhou, Jinpeng Wang, Wayne Xin Zhao, Ji-Rong Wen |
| 2023 | Evaluating and Modeling Attribution for Cross-Lingual Question Answering. Benjamin Muller, John Wieting, Jonathan H. Clark, Tom Kwiatkowski, Sebastian Ruder, Livio Soares, Roee Aharoni, Jonathan Herzig, Xinyi Wang |
| 2023 | Evaluating the Rationale Understanding of Critical Reasoning in Logical Reading Comprehension. Akira Kawabata, Saku Sugawara |
| 2023 | Evaluation Metrics in the Era of GPT-4: Reliably Evaluating Large Language Models on Sequence to Sequence Tasks. Andrea Sottana, Bin Liang, Kai Zou, Zheng Yuan |
| 2023 | Evaluation of African American Language Bias in Natural Language Generation. Nicholas Deas, Jessica Grieser, Shana Kleiner, Desmond Patton, Elsbeth Turcan, Kathleen R. McKeown |
| 2023 | Event Causality Extraction via Implicit Cause-Effect Interactions. Jintao Liu, Zequn Zhang, Kaiwen Wei, Zhi Guo, Xian Sun, Li Jin, Xiaoyu Li |
| 2023 | Event Ontology Completion with Hierarchical Structure Evolution Networks. Pengfei Cao, Yupu Hao, Yubo Chen, Kang Liu, Jiexin Xu, Huaijun Li, Xiaojian Jiang, Jun Zhao |
| 2023 | Event-Location Tracking in Narratives: A Case Study on Holocaust Testimonies. Eitan Wagner, Renana Keydar, Omri Abend |
| 2023 | Exchange-of-Thought: Enhancing Large Language Model Capabilities through Cross-Model Communication. Zhangyue Yin, Qiushi Sun, Cheng Chang, Qipeng Guo, Junqi Dai, Xuanjing Huang, Xipeng Qiu |
| 2023 | Expand, Highlight, Generate: RL-driven Document Generation for Passage Reranking. Arian Askari, Mohammad Aliannejadi, Chuan Meng, Evangelos Kanoulas, Suzan Verberne |
| 2023 | Explaining Interactions Between Text Spans. Sagnik Ray Choudhury, Pepa Atanasova, Isabelle Augenstein |
| 2023 | Explaining with Contrastive Phrasal Highlighting: A Case Study in Assisting Humans to Detect Translation Differences. Eleftheria Briakou, Navita Goyal, Marine Carpuat |
| 2023 | Explanation Selection Using Unlabeled Data for Chain-of-Thought Prompting. Xi Ye, Greg Durrett |
| 2023 | Explicit Planning Helps Language Models in Logical Reasoning. Hongyu Zhao, Kangrui Wang, Mo Yu, Hongyuan Mei |
| 2023 | Exploiting Asymmetry for Synthetic Training Data Generation: SynthIE and the Case of Information Extraction. Martin Josifoski, Marija Sakota, Maxime Peyrard, Robert West |
| 2023 | Explore-Instruct: Enhancing Domain-Specific Instruction Coverage through Active Exploration. Fanqi Wan, Xinting Huang, Tao Yang, Xiaojun Quan, Wei Bi, Shuming Shi |
| 2023 | Exploring All-In-One Knowledge Distillation Framework for Neural Machine Translation. Zhongjian Miao, Wen Zhang, Jinsong Su, Xiang Li, Jian Luan, Yidong Chen, Bin Wang, Min Zhang |
| 2023 | Exploring Chain of Thought Style Prompting for Text-to-SQL. Chang-Yu Tai, Ziru Chen, Tianshu Zhang, Xiang Deng, Huan Sun |
| 2023 | Exploring Discourse Structure in Document-level Machine Translation. Xinyu Hu, Xiaojun Wan |
| 2023 | Exploring Distributional Shifts in Large Language Models for Code Analysis. Shushan Arakelyan, Rocktim Jyoti Das, Yi Mao, Xiang Ren |
| 2023 | Exploring Jiu-Jitsu Argumentation for Writing Peer Review Rebuttals. Sukannya Purkayastha, Anne Lauscher, Iryna Gurevych |
| 2023 | Exploring Linguistic Probes for Morphological Inflection. Jordan Kodner, Salam Khalifa, Sarah Ruth Brogden Payne |
| 2023 | Exploring the Boundaries of GPT-4 in Radiology. Qianchu Liu, Stephanie L. Hyland, Shruthi Bannur, Kenza Bouzid, Daniel C. Castro, Maria Wetscherek, Robert Tinn, Harshita Sharma, Fernando Pérez-García, Anton Schwaighofer, Pranav Rajpurkar, Sameer Tajdin Khanna, Hoifung Poon, Naoto Usuyama, Anja Thieme, Aditya V. Nori, Matthew P. Lungren, Ozan Oktay, Javier Alvarez-Valle |
| 2023 | Exploring the Impact of Model Scaling on Parameter-Efficient Tuning. Yusheng Su, Chi-Min Chan, Jiali Cheng, Yujia Qin, Yankai Lin, Shengding Hu, Zonghan Yang, Ning Ding, Xingzhi Sun, Guotong Xie, Zhiyuan Liu, Maosong Sun |
| 2023 | Expository Text Generation: Imitate, Retrieve, Paraphrase. Nishant Balepur, Jie Huang, Kevin Chen-Chuan Chang |
| 2023 | FACTIFY3M: A benchmark for multimodal fact verification with explainability through 5W Question-Answering. Megha Chakraborty, Khushbu Pahwa, Anku Rani, Shreyas Chatterjee, Dwip Dalal, Harshit Dave, Ritvik G, Preethi Gurumurthy, Adarsh Mahor, Samahriti Mukherjee, Aditya Pakala, Ishan Paul, Janvita Reddy, Arghya Sarkar, Kinjal Sensharma, Aman Chadha, Amit P. Sheth, Amitava Das |
| 2023 | FAME: Flexible, Scalable Analogy Mappings Engine. Shahar Jacob, Chen Shani, Dafna Shahaf |
| 2023 | FANToM: A Benchmark for Stress-testing Machine Theory of Mind in Interactions. Hyunwoo Kim, Melanie Sclar, Xuhui Zhou, Ronan Le Bras, Gunhee Kim, Yejin Choi, Maarten Sap |
| 2023 | FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation. Sewon Min, Kalpesh Krishna, Xinxi Lyu, Mike Lewis, Wen-tau Yih, Pang Wei Koh, Mohit Iyyer, Luke Zettlemoyer, Hannaneh Hajishirzi |
| 2023 | FLatS: Principled Out-of-Distribution Detection with Feature-Based Likelihood Ratio Score. Haowei Lin, Yuntian Gu |
| 2023 | FOCUS: Effective Embedding Initialization for Monolingual Specialization of Multilingual Models. Konstantin Dobler, Gerard de Melo |
| 2023 | FaMeSumm: Investigating and Improving Faithfulness of Medical Summarization. Nan Zhang, Yusen Zhang, Wu Guo, Prasenjit Mitra, Rui Zhang |
| 2023 | FactKB: Generalizable Factuality Evaluation using Language Models Enhanced with Factual Knowledge. Shangbin Feng, Vidhisha Balachandran, Yuyang Bai, Yulia Tsvetkov |
| 2023 | Failures Pave the Way: Enhancing Large Language Models through Tuning-free Rule Accumulation. Zeyuan Yang, Peng Li, Yang Liu |
| 2023 | Fair Text Classification with Wasserstein Independence. Thibaud Leteno, Antoine Gourru, Charlotte Laclau, Rémi Emonet, Christophe Gravier |
| 2023 | Fair Without Leveling Down: A New Intersectional Fairness Definition. Gaurav Maheshwari, Aurélien Bellet, Pascal Denis, Mikaela Keller |
| 2023 | Faithful Model Evaluation for Model-Based Metrics. Qian Hu, Palash Goyal, Rahul Gupta |
| 2023 | Fast and Accurate Factual Inconsistency Detection Over Long Documents. Barrett Martin Lattimer, Patrick Chen, Xinyuan Zhang, Yi Yang |
| 2023 | Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding. Sangmin Bae, Jongwoo Ko, Hwanjun Song, Se-Young Yun |
| 2023 | Faster Minimum Bayes Risk Decoding with Confidence-based Pruning. Julius Cheng, Andreas Vlachos |
| 2023 | FedID: Federated Interactive Distillation for Large-Scale Pretraining Language Models. Xinge Ma, Jiangming Liu, Jin Wang, Xuejie Zhang |
| 2023 | FedTherapist: Mental Health Monitoring with User-Generated Linguistic Expressions on Smartphones via Federated Learning. Jaemin Shin, Hyungjun Yoon, Seungjoo Lee, Sungjoon Park, Yunxin Liu, Jinho D. Choi, Sung-Ju Lee |
| 2023 | Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization. Tianshi Che, Ji Liu, Yang Zhou, Jiaxiang Ren, Jiwen Zhou, Victor S. Sheng, Huaiyu Dai, Dejing Dou |
| 2023 | Federated Meta-Learning for Emotion and Sentiment Aware Multi-modal Complaint Identification. Apoorva Singh, Siddarth Chandrasekar, Sriparna Saha, Tanmay Sen |
| 2023 | Fidelity-Enriched Contrastive Search: Reconciling the Faithfulness-Diversity Trade-Off in Text Generation. Wei-Lin Chen, Cheng-Kuang Wu, Hsin-Hsi Chen, Chung-Chi Chen |
| 2023 | Fighting Fire with Fire: The Dual Role of LLMs in Crafting and Detecting Elusive Disinformation. Jason Samuel Lucas, Adaku Uchendu, Michiharu Yamashita, Jooyoung Lee, Shaurya Rohatgi, Dongwon Lee |
| 2023 | FinEntity: Entity-level Sentiment Classification for Financial Texts. Yixuan Tang, Yi Yang, Allen Huang, Andy Tam, Justin Z. Tang |
| 2023 | FinGPT: Large Generative Models for a Small Language. Risto Luukkonen, Ville Komulainen, Jouni Luoma, Anni Eskelinen, Jenna Kanerva, Hanna-Mari Kupari, Filip Ginter, Veronika Laippala, Niklas Muennighoff, Aleksandra Piktus, Thomas Wang, Nouamane Tazi, Teven Le Scao, Thomas Wolf, Osma Suominen, Samuli Sairanen, Mikko Merioksa, Jyrki Heinonen, Aija Vahtola, Samuel Antao, Sampo Pyysalo |
| 2023 | Find-2-Find: Multitask Learning for Anaphora Resolution and Object Localization. Cennet Oguz, Pascal Denis, Emmanuel Vincent, Simon Ostermann, Josef van Genabith |
| 2023 | Finding Authentic Counterhate Arguments: A Case Study with Public Figures. Abdullah Albanyan, Ahmed Hassan, Eduardo Blanco |
| 2023 | Fine-grained Conversational Decoding via Isotropic and Proximal Search. Yuxuan Yao, Han Wu, Qiling Xu, Linqi Song |
| 2023 | Fine-grained Medical Vision-Language Representation Learning for Radiology Report Generation. Siyuan Wang, Bo Peng, Yichao Liu, Qi Peng |
| 2023 | Fine-tuned LLMs Know More, Hallucinate Less with Few-Shot Sequence-to-Sequence Semantic Parsing over Wikidata. Silei Xu, Shicheng Liu, Theo Culhane, Elizaveta Pertseva, Meng-Hsi Wu, Sina J. Semnani, Monica S. Lam |
| 2023 | Focus Your Attention (with Adaptive IIR Filters). Shahar Lutati, Itamar Zimerman, Lior Wolf |
| 2023 | FreeAL: Towards Human-Free Active Learning in the Era of Large Language Models. Ruixuan Xiao, Yiwen Dong, Junbo Zhao, Runze Wu, Minmin Lin, Gang Chen, Haobo Wang |
| 2023 | From Dissonance to Insights: Dissecting Disagreements in Rationale Construction for Case Outcome Classification. Shanshan Xu, T. Y. S. S. Santosh, Oana Ichim, Isabella Risini, Barbara Plank, Matthias Grabmair |
| 2023 | From Heuristic to Analytic: Cognitively Motivated Strategies for Coherent Physical Commonsense Reasoning. Zheyuan Zhang, Shane Storks, Fengyuan Hu, Sungryull Sohn, Moontae Lee, Honglak Lee, Joyce Chai |
| 2023 | From Multilingual Complexity to Emotional Clarity: Leveraging Commonsense to Unveil Emotions in Code-Mixed Dialogues. Shivani Kumar, Ramaneswaran S., Md. Shad Akhtar, Tanmoy Chakraborty |
| 2023 | From Parse-Execute to Parse-Execute-Refine: Improving Semantic Parser for Complex Question Answering over Knowledge Base. Wangzhen Guo, Linyin Luo, Hanjiang Lai, Jian Yin |
| 2023 | From Values to Opinions: Predicting Human Behaviors and Stances Using Value-Injected Large Language Models. Dongjun Kang, Joonsuk Park, Yohan Jo, JinYeong Bak |
| 2023 | From Wrong To Right: A Recursive Approach Towards Vision-Language Explanation. Jiaxin Ge, Sanjay Subramanian, Trevor Darrell, Boyi Li |
| 2023 | Frontmatter. |
| 2023 | G-Eval: NLG Evaluation using Gpt-4 with Better Human Alignment. Yang Liu, Dan Iter, Yichong Xu, Shuohang Wang, Ruochen Xu, Chenguang Zhu |
| 2023 | GATITOS: Using a New Multilingual Lexicon for Low-resource Machine Translation. Alexander Jones, Isaac Caswell, Orhan Firat, Ishank Saxena |
| 2023 | GD-COMET: A Geo-Diverse Commonsense Inference Model. Mehar Bhatia, Vered Shwartz |
| 2023 | GEM: Gestalt Enhanced Markup Language Model for Web Understanding via Render Tree. Zirui Shao, Feiyu Gao, Zhongda Qi, Hangdi Xing, Jiajun Bu, Zhi Yu, Qi Zheng, Xiaozhong Liu |
| 2023 | GEMINI: Controlling The Sentence-Level Summary Style in Abstractive Text Summarization. Guangsheng Bao, Zebin Ou, Yue Zhang |
| 2023 | GLEN: General-Purpose Event Detection for Thousands of Types. Sha Li, Qiusi Zhan, Kathryn Conger, Martha Palmer, Heng Ji, Jiawei Han |
| 2023 | GLEN: Generative Retrieval via Lexical Index Learning. Sunkyung Lee, Minjin Choi, Jongwuk Lee |
| 2023 | GNAT: A General Narrative Alignment Tool. Tanzir Pial, Steven Skiena |
| 2023 | GPT-RE: In-context Learning for Relation Extraction using Large Language Models. Zhen Wan, Fei Cheng, Zhuoyuan Mao, Qianying Liu, Haiyue Song, Jiwei Li, Sadao Kurohashi |
| 2023 | GPTAraEval: A Comprehensive Evaluation of ChatGPT on Arabic NLP. Md. Tawkat Islam Khondaker, Abdul Waheed, El Moatez Billah Nagoudi, Muhammad Abdul-Mageed |
| 2023 | GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints. Joshua Ainslie, James Lee-Thorp, Michiel de Jong, Yury Zemlyanskiy, Federico Lebrón, Sumit Sanghai |
| 2023 | GROOViST: A Metric for Grounding Objects in Visual Storytelling. Aditya K. Surikuchi, Sandro Pezzelle, Raquel Fernández |
| 2023 | GazeVQA: A Video Question Answering Dataset for Multiview Eye-Gaze Task-Oriented Collaborations. Muhammet Furkan Ilaslan, Chenan Song, Joya Chen, Difei Gao, Weixian Lei, Qianli Xu, Joo Lim, Mike Zheng Shou |
| 2023 | GenEx: A Commonsense-aware Unified Generative Framework for Explainable Cyberbullying Detection. Krishanu Maity, Raghav Jain, Prince Jha, Sriparna Saha, Pushpak Bhattacharyya |
| 2023 | Gender Biases in Automatic Evaluation Metrics for Image Captioning. Haoyi Qiu, Zi-Yi Dou, Tianlu Wang, Asli Celikyilmaz, Nanyun Peng |
| 2023 | Generating Commonsense Counterfactuals for Stable Relation Extraction. Xin Miao, Yongqi Li, Tieyun Qian |
| 2023 | Generating Data for Symbolic Language with Large Language Models. Jiacheng Ye, Chengzu Li, Lingpeng Kong, Tao Yu |
| 2023 | Generating Summaries with Controllable Readability Levels. Leonardo F. R. Ribeiro, Mohit Bansal, Markus Dreyer |
| 2023 | Generating and Evaluating Tests for K-12 Students with Language Model Simulations: A Case Study on Sentence Reading Efficiency. Eric Zelikman, Wanjing Anya Ma, Jasmine E. Tran, Diyi Yang, Jason D. Yeatman, Nick Haber |
| 2023 | Generative Adversarial Training with Perturbed Token Detection for Model Robustness. Jiahao Zhao, Wenji Mao |
| 2023 | Generative Spoken Language Model based on continuous word-sized audio tokens. Robin Algayres, Yossi Adi, Tu Anh Nguyen, Jade Copet, Gabriel Synnaeve, Benoît Sagot, Emmanuel Dupoux |
| 2023 | Generative Table Pre-training Empowers Models for Tabular Prediction. Tianping Zhang, Shaowen Wang, Shuicheng Yan, Li Jian, Qian Liu |
| 2023 | GeoLM: Empowering Language Models for Geospatially Grounded Language Understanding. Zekun Li, Wenxuan Zhou, Yao-Yi Chiang, Muhao Chen |
| 2023 | Global Voices, Local Biases: Socio-Cultural Prejudices across Languages. Anjishnu Mukherjee, Chahat Raj, Ziwei Zhu, Antonios Anastasopoulos |
| 2023 | GlobalBench: A Benchmark for Global Progress in Natural Language Processing. Yueqi Song, Simran Khanuja, Pengfei Liu, Fahim Faisal, Alissa Ostapenko, Genta Indra Winata, Alham Fikri Aji, Samuel Cahyawijaya, Yulia Tsvetkov, Antonios Anastasopoulos, Graham Neubig |
| 2023 | Goal-Driven Explainable Clustering via Language Descriptions. Zihan Wang, Jingbo Shang, Ruiqi Zhong |
| 2023 | GradSim: Gradient-Based Language Grouping for Effective Multilingual Training. Mingyang Wang, Heike Adel, Lukas Lange, Jannik Strötgen, Hinrich Schütze |
| 2023 | Gradient-based Gradual Pruning for Language-Specific Multilingual Neural Machine Translation. Dan He, Minh-Quang Pham, Thanh-Le Ha, Marco Turchi |
| 2023 | Grammar-Constrained Decoding for Structured NLP Tasks without Finetuning. Saibo Geng, Martin Josifoski, Maxime Peyrard, Robert West |
| 2023 | Granularity Matters: Pathological Graph-driven Cross-modal Alignment for Brain CT Report Generation. Yanzhao Shi, Junzhong Ji, Xiaodan Zhang, Liangqiong Qu, Ying Liu |
| 2023 | Graph vs. Sequence: An Empirical Study on Knowledge Forms for Knowledge-Grounded Dialogue. Yizhe Yang, Heyan Huang, Yuhang Liu, Yang Gao |
| 2023 | GreedyCAS: Unsupervised Scientific Abstract Segmentation with Normalized Mutual Information. Yingqiang Gao, Jessica Lam, Nianlong Gu, Richard H. R. Hahnloser |
| 2023 | Grounding Visual Illusions in Language: Do Vision-Language Models Perceive Illusions Like Humans? Yichi Zhang, Jiayi Pan, Yuchen Zhou, Rui Pan, Joyce Chai |
| 2023 | Guideline Learning for In-Context Information Extraction. Chaoxu Pang, Yixuan Cao, Qiang Ding, Ping Luo |
| 2023 | HalOmi: A Manually Annotated Benchmark for Multilingual Hallucination and Omission Detection in Machine Translation. David Dale, Elena Voita, Janice Lam, Prangthip Hansanti, Christophe Ropers, Elahe Kalbassi, Cynthia Gao, Loïc Barrault, Marta R. Costa-jussà |
| 2023 | Hallucination Detection for Generative Large Language Models by Bayesian Sequential Estimation. Xiaohua Wang, Yuliang Yan, Longtao Huang, Xiaoqing Zheng, Xuanjing Huang |
| 2023 | Hallucination Mitigation in Natural Language Generation from Large-Scale Open-Domain Knowledge Graphs. Xiao Shi, Zhengyuan Zhu, Zeyu Zhang, Chengkai Li |
| 2023 | HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language Models. Junyi Li, Xiaoxue Cheng, Xin Zhao, Jian-Yun Nie, Ji-Rong Wen |
| 2023 | Harnessing Black-Box Control to Boost Commonsense in LM's Generation. Yufei Tian, Felix Zhang, Nanyun Peng |
| 2023 | Have LLMs Advanced Enough? A Challenging Problem Solving Benchmark For Large Language Models. Daman Arora, Himanshu Gaurav Singh, Mausam |
| 2023 | Hi Guys or Hi Folks? Benchmarking Gender-Neutral Machine Translation with the GeNTE Corpus. Andrea Piergentili, Beatrice Savoldi, Dennis Fucci, Matteo Negri, Luisa Bentivogli |
| 2023 | Hi-ArG: Exploring the Integration of Hierarchical Argumentation Graphs in Language Pretraining. Jingcong Liang, Rong Ye, Meng Han, Qi Zhang, Ruofei Lai, Xinyu Zhang, Zhao Cao, Xuanjing Huang, Zhongyu Wei |
| 2023 | HiddenTables and PyQTax: A Cooperative Game and Dataset For TableQA to Ensure Scale and Data Privacy Across a Myriad of Taxonomies. William Watson, Nicole Cho, Tucker Balch, Manuela Veloso |
| 2023 | Hidding the Ghostwriters: An Adversarial Evaluation of AI-Generated Student Essay Detection. Xinlin Peng, Ying Zhou, Ben He, Le Sun, Yingfei Sun |
| 2023 | Hierarchical Pretraining on Multimodal Electronic Health Records. Xiaochen Wang, Junyu Luo, Jiaqi Wang, Ziyi Yin, Suhan Cui, Yuan Zhong, Yaqing Wang, Fenglong Ma |
| 2023 | HistAlign: Improving Context Dependency in Language Generation by Aligning with History. David Wan, Shiyue Zhang, Mohit Bansal |
| 2023 | Holistic Inter-Annotator Agreement and Corpus Coherence Estimation in a Large-scale Multilingual Annotation Campaign. Nicolas Stefanovitch, Jakub Piskorski |
| 2023 | Homophone Disambiguation Reveals Patterns of Context Mixing in Speech Transformers. Hosein Mohebbi, Grzegorz Chrupala, Willem H. Zuidema, Afra Alishahi |
| 2023 | Hop, Union, Generate: Explainable Multi-hop Reasoning without Rationale Supervision. Wenting Zhao, Justin T. Chiu, Claire Cardie, Alexander M. Rush |
| 2023 | How Do Large Language Models Capture the Ever-changing World Knowledge? A Review of Recent Advances. Zihan Zhang, Meng Fang, Ling Chen, Mohammad-Reza Namazi-Rad, Jun Wang |
| 2023 | How Does Generative Retrieval Scale to Millions of Passages? Ronak Pradeep, Kai Hui, Jai Gupta, Ádám D. Lelkes, Honglei Zhuang, Jimmy Lin, Donald Metzler, Vinh Q. Tran |
| 2023 | How do languages influence each other? Studying cross-lingual data sharing during LM fine-tuning. Rochelle Choenni, Dan Garrette, Ekaterina Shutova |
| 2023 | How to Enhance Causal Discrimination of Utterances: A Case on Affective Reasoning. Hang Chen, Xinyu Yang, Jing Luo, Wenjing Zhu |
| 2023 | Human Learning by Model Feedback: The Dynamics of Iterative Prompting with Midjourney. Shachar Don-Yehiya, Leshem Choshen, Omri Abend |
| 2023 | Human Raters Cannot Distinguish English Translations from Original English Texts. Shira Wein |
| 2023 | HutCRS: Hierarchical User-Interest Tracking for Conversational Recommender System. Mingjie Qian, Yongsen Zheng, Jinghui Qin, Liang Lin |
| 2023 | Hybrid Inverted Index Is a Robust Accelerator for Dense Retrieval. Peitian Zhang, Zheng Liu, Shitao Xiao, Zhicheng Dou, Jing Yao |
| 2023 | HyperNetwork-based Decoupling to Improve Model Generalization for Few-Shot Relation Extraction. Liang Zhang, Chulun Zhou, Fandong Meng, Jinsong Su, Yidong Chen, Jie Zhou |
| 2023 | HyperRank: Hyperbolic Ranking Model for Unsupervised Keyphrase Extraction. Mingyang Song, Huafeng Liu, Liping Jing |
| 2023 | HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts. Truong Do, Le Khiem, Quang Pham, TrungTin Nguyen, Thanh-Nam Doan, Binh Nguyen, Chenghao Liu, Savitha Ramasamy, Xiaoli Li, Steven C. H. Hoi |
| 2023 | Hyperpolyglot LLMs: Cross-Lingual Interpretability in Token Embeddings. Andrea W. Wen-Yi, David Mimno |
| 2023 | IAG: Induction-Augmented Generation Framework for Answering Reasoning Questions. Zhebin Zhang, Xinyu Zhang, Yuanhang Ren, Saijiang Shi, Meng Han, Yongkang Wu, Ruofei Lai, Zhao Cao |
| 2023 | IBADR: an Iterative Bias-Aware Dataset Refinement Framework for Debiasing NLU models. Xiaoyue Wang, Xin Liu, Lijie Wang, Yaoxiang Wang, Jinsong Su, Hua Wu |
| 2023 | IC3: Image Captioning by Committee Consensus. David Chan, Austin Myers, Sudheendra Vijayanarasimhan, David A. Ross, John F. Canny |
| 2023 | IDTraffickers: An Authorship Attribution Dataset to link and connect Potential Human-Trafficking Operations on Text Escort Advertisements. Vageesh Saxena, Benjamin Bashpole, Gijs van Dijck, Gerasimos Spanakis |
| 2023 | IEKG: A Commonsense Knowledge Graph for Idiomatic Expressions. Ziheng Zeng, Kellen Tan Cheng, Srihari Venkat Nanniyur, Jianing Zhou, Suma Bhat |
| 2023 | IMTLab: An Open-Source Platform for Building, Evaluating, and Diagnosing Interactive Machine Translation Systems. Xu Huang, Zhirui Zhang, Ruize Gao, Yichao Du, Lemao Liu, Guoping Huang, Shuming Shi, Jiajun Chen, Shujian Huang |
| 2023 | INFORM : Information eNtropy based multi-step reasoning FOR large language Models. Chuyue Zhou, Wangjie You, Juntao Li, Jing Ye, Kehai Chen, Min Zhang |
| 2023 | INSTRUCTSCORE: Towards Explainable Text Generation Evaluation with Automatic Feedback. Wenda Xu, Danqing Wang, Liangming Pan, Zhenqiao Song, Markus Freitag, William Wang, Lei Li |
| 2023 | Identification of Multimodal Stance Towards Frames of Communication. Maxwell A. Weinzierl, Sanda M. Harabagiu |
| 2023 | Identifying Informational Sources in News Articles. Alexander Spangher, Nanyun Peng, Emilio Ferrara, Jonathan May |
| 2023 | Identifying Statements Crucial for Awareness of Interpretive Nonsense to Prevent Communication Breakdowns. Tomoyuki Maekawa, Michita Imai |
| 2023 | Ideology Takes Multiple Looks: A High-Quality Dataset for Multifaceted Ideology Detection. Songtao Liu, Ziling Luo, Minghua Xu, Lixiao Wei, Ziyao Wei, Han Yu, Wei Xiang, Bang Wang |
| 2023 | IfQA: A Dataset for Open-domain Question Answering under Counterfactual Presuppositions. Wenhao Yu, Meng Jiang, Peter Clark, Ashish Sabharwal |
| 2023 | Ignore This Title and HackAPrompt: Exposing Systemic Vulnerabilities of LLMs Through a Global Prompt Hacking Competition. Sander Schulhoff, Jeremy Pinto, Anaum Khan, Louis-François Bouchard, Chenglei Si, Svetlina Anati, Valen Tagliabue, Anson Liu Kost, Christopher Carnahan, Jordan L. Boyd-Graber |
| 2023 | Image Manipulation via Multi-Hop Instructions - A New Dataset and Weakly-Supervised Neuro-Symbolic Approach. Harman Singh, Poorva Garg, Mohit Gupta, Kevin Shah, Ashish Goswami, Satyam Modi, Arnab Kumar Mondal, Dinesh Khandelwal, Dinesh Garg, Parag Singla |
| 2023 | Impressions: Visual Semiotics and Aesthetic Impact Understanding. Julia Kruk, Caleb Ziems, Diyi Yang |
| 2023 | Improved Pseudo Data for Machine Translation Quality Estimation with Constrained Beam Search. Xiang Geng, Yu Zhang, Zhejian Lai, Shuaijie She, Wei Zou, Shimin Tao, Hao Yang, Jiajun Chen, Shujian Huang |
| 2023 | Improved Unsupervised Chinese Word Segmentation Using Pre-trained Knowledge and Pseudo-labeling Transfer. Hsiu-Wen Li, Ying-Jia Lin, Yi-Ting Li, Chun Lin, Hung-Yu Kao |
| 2023 | Improving Bias Mitigation through Bias Experts in Natural Language Understanding. Eojin Jeon, Mingyu Lee, Juhyeong Park, Yeachan Kim, Wing-Lam Mok, SangKeun Lee |
| 2023 | Improving Biomedical Abstractive Summarisation with Knowledge Aggregation from Citation Papers. Chen Tang, Shun Wang, Tomas Goldsack, Chenghua Lin |
| 2023 | Improving Chinese Pop Song and Hokkien Gezi Opera Singing Voice Synthesis by Enhancing Local Modeling. Peng Bai, Yue Zhou, Meizhen Zheng, Wujin Sun, Xiaodong Shi |
| 2023 | Improving Dialogue Discourse Parsing via Reply-to Structures of Addressee Recognition. Yaxin Fan, Feng Jiang, Peifeng Li, Fang Kong, Qiaoming Zhu |
| 2023 | Improving Diversity of Demographic Representation in Large Language Models via Collective-Critiques and Self-Voting. Preethi Lahoti, Nicholas Blumm, Xiao Ma, Raghavendra Kotikalapudi, Sahitya Potluri, Qijun Tan, Hansa Srinivasan, Ben Packer, Ahmad Beirami, Alex Beutel, Jilin Chen |
| 2023 | Improving Image Captioning via Predicting Structured Concepts. Ting Wang, Weidong Chen, Yuanhe Tian, Yan Song, Zhendong Mao |
| 2023 | Improving Language Models' Meaning Understanding and Consistency by Learning Conceptual Roles from Dictionary. Myeongjun Jang, Thomas Lukasiewicz |
| 2023 | Improving Long Document Topic Segmentation Models With Enhanced Coherence Modeling. Hai Yu, Chong Deng, Qinglin Zhang, Jiaqing Liu, Qian Chen, Wen Wang |
| 2023 | Improving Summarization with Human Edits. Zonghai Yao, Benjamin J. Schloss, Sai P. Selvaraj |
| 2023 | Improving Transformer-based Program Repair Model through False Behavior Diagnosis. Youngkyoung Kim, Misoo Kim, Eunseok Lee |
| 2023 | Improving Unsupervised Relation Extraction by Augmenting Diverse Sentence Pairs. Qing Wang, Kang Zhou, Qiao Qiao, Yuepei Li, Qi Li |
| 2023 | Incorporating Structured Representations into Pretrained Vision & Language Models Using Scene Graphs. Roei Herzig, Alon Mendelson, Leonid Karlinsky, Assaf Arbelle, Rogério Feris, Trevor Darrell, Amir Globerson |
| 2023 | Incorporating Worker Perspectives into MTurk Annotation Practices for NLP. Olivia Huang, Eve Fleisig, Dan Klein |
| 2023 | Increasing Coverage and Precision of Textual Information in Multilingual Knowledge Graphs. Simone Conia, Min Li, Daniel Lee, Umar Farooq Minhas, Ihab F. Ilyas, Yunyao Li |
| 2023 | Increasing Probability Mass on Answer Choices Does Not Always Improve Accuracy. Sarah Wiegreffe, Matthew Finlayson, Oyvind Tafjord, Peter Clark, Ashish Sabharwal |
| 2023 | Indicative Summarization of Long Discussions. Shahbaz Syed, Dominik Schwabe, Khalid Al Khatib, Martin Potthast |
| 2023 | Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning. Ximing Lu, Faeze Brahman, Peter West, Jaehun Jung, Khyathi Raghavi Chandu, Abhilasha Ravichander, Prithviraj Ammanabrolu, Liwei Jiang, Sahana Ramnath, Nouha Dziri, Jillian Fisher, Bill Y. Lin, Skyler Hallinan, Lianhui Qin, Xiang Ren, Sean Welleck, Yejin Choi |
| 2023 | Influence Scores at Scale for Efficient Language Data Sampling. Nikhil Anand, Joshua Tan, Maria Minakova |
| 2023 | Information Value: Measuring Utterance Predictability as Distance from Plausible Alternatives. Mario Giulianelli, Sarenne Wallbridge, Raquel Fernández |
| 2023 | Instruct and Extract: Instruction Tuning for On-Demand Information Extraction. Yizhu Jiao, Ming Zhong, Sha Li, Ruining Zhao, Siru Ouyang, Heng Ji, Jiawei Han |
| 2023 | Instructed Language Models with Retrievers Are Powerful Entity Linkers. Zilin Xiao, Ming Gong, Jie Wu, Xingyao Zhang, Linjun Shou, Daxin Jiang |
| 2023 | Instructive Dialogue Summarization with Query Aggregations. Bin Wang, Zhengyuan Liu, Nancy F. Chen |
| 2023 | Integrating Language Models into Direct Speech Translation: An Inference-Time Solution to Control Gender Inflection. Dennis Fucci, Marco Gaido, Sara Papi, Mauro Cettolo, Matteo Negri, Luisa Bentivogli |
| 2023 | InterFair: Debiasing with Natural Language Feedback for Fair Interpretable Predictions. Bodhisattwa Prasad Majumder, Zexue He, Julian J. McAuley |
| 2023 | Interactive Text Generation. Felix Faltings, Michel Galley, Kianté Brantley, Baolin Peng, Weixin Cai, Yizhe Zhang, Jianfeng Gao, Bill Dolan |
| 2023 | Interactive Text-to-SQL Generation via Editable Step-by-Step Explanations. Yuan Tian, Zheng Zhang, Zheng Ning, Toby Jia-Jun Li, Jonathan K. Kummerfeld, Tianyi Zhang |
| 2023 | Interpreting Embedding Spaces by Conceptualization. Adi Simhi, Shaul Markovitch |
| 2023 | Interpreting and Exploiting Functional Specialization in Multi-Head Attention under Multi-task Learning. Chong Li, Shaonan Wang, Yunhao Zhang, Jiajun Zhang, Chengqing Zong |
| 2023 | Interventional Rationalization. Linan Yue, Qi Liu, Li Wang, Yanqing An, Yichao Du, Zhenya Huang |
| 2023 | Interview Evaluation: A Novel Approach for Automatic Evaluation of Conversational Question Answering Models. Xibo Li, Bowei Zou, Yifan Fan, Yanling Li, Ai Ti Aw, Yu Hong |
| 2023 | Introducing Rhetorical Parallelism Detection: A New Task with Datasets, Metrics, and Baselines. Stephen Bothwell, Justin DeBenedetto, Theresa Crnkovich, Hildegund Müller, David Chiang |
| 2023 | Inverse Scaling Can Become U-Shaped. Jason Wei, Najoung Kim, Yi Tay, Quoc V. Le |
| 2023 | Investigating Bias in Multilingual Language Models: Cross-Lingual Transfer of Debiasing Techniques. Manon Reusens, Philipp Borchert, Margot Mieskes, Jochen De Weerdt, Bart Baesens |
| 2023 | Investigating Efficiently Extending Transformers for Long Input Summarization. Jason Phang, Yao Zhao, Peter J. Liu |
| 2023 | Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents. Weiwei Sun, Lingyong Yan, Xinyu Ma, Shuaiqiang Wang, Pengjie Ren, Zhumin Chen, Dawei Yin, Zhaochun Ren |
| 2023 | Is ChatGPT a General-Purpose Natural Language Processing Task Solver? Chengwei Qin, Aston Zhang, Zhuosheng Zhang, Jiaao Chen, Michihiro Yasunaga, Diyi Yang |
| 2023 | It Ain't Over: A Multi-aspect Diverse Math Word Problem Dataset. JiWoo Kim, YoungBin Kim, Ilwoong Baek, JinYeong Bak, Jongwuk Lee |
| 2023 | JASMINE: Arabic GPT Models for Few-Shot Learning. El Moatez Billah Nagoudi, Muhammad Abdul-Mageed, AbdelRahim A. Elmadany, Alcides Alcoba Inciarte, Md. Tawkat Islam Khondaker |
| 2023 | Joint Entity and Relation Extraction with Span Pruning and Hypergraph Neural Networks. Zhaohui Yan, Songlin Yang, Wei Liu, Kewei Tu |
| 2023 | Joint Geometrical and Statistical Domain Adaptation for Cross-domain Code Vulnerability Detection. Qianjin Du, Shiji Zhou, Xiaohui Kuang, Gang Zhao, Jidong Zhai |
| 2023 | JointMatch: A Unified Approach for Diverse and Collaborative Pseudo-Labeling to Semi-Supervised Text Classification. Henry Peng Zou, Cornelia Caragea |
| 2023 | Joyful: Joint Modality Fusion and Graph Contrastive Learning for Multimoda Emotion Recognition. Dongyuan Li, Yusong Wang, Kotaro Funakoshi, Manabu Okumura |
| 2023 | Just Adjust One Prompt: Enhancing In-Context Dialogue Scoring via Constructing the Optimal Subgraph of Demonstrations and Prompts. Jiashu Pu, Ling Cheng, Lu Fan, Tangjie Lv, Rongsheng Zhang |
| 2023 | Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback. Katherine Tian, Eric Mitchell, Allan Zhou, Archit Sharma, Rafael Rafailov, Huaxiu Yao, Chelsea Finn, Christopher D. Manning |
| 2023 | KCTS: Knowledge-Constrained Tree Search Decoding with Token-Level Hallucination Detection. Sehyun Choi, Tianqing Fang, Zhaowei Wang, Yangqiu Song |
| 2023 | KEBAP: Korean Error Explainable Benchmark Dataset for ASR and Post-processing. Seonmin Koo, Chanjun Park, Jinsung Kim, Jaehyung Seo, Sugyeong Eo, Hyeonseok Moon, Heuiseok Lim |
| 2023 | KEPL: Knowledge Enhanced Prompt Learning for Chinese Hypernym-Hyponym Extraction. Ningchen Ma, Dong Wang, Hongyun Bao, Lei He, Suncong Zheng |
| 2023 | KRLS: Improving End-to-End Response Generation in Task Oriented Dialog with Reinforced Keywords Learning. Xiao Yu, Qingyang Wu, Kun Qian, Zhou Yu |
| 2023 | Knowledge Distillation \approx Label Smoothing: Fact or Fallacy? Md. Sultan |
| 2023 | Knowledge Graph Compression Enhances Diverse Commonsense Generation. Eunjeong Hwang, Veronika Thost, Vered Shwartz, Tengfei Ma |
| 2023 | Knowledge Rumination for Pre-trained Language Models. Yunzhi Yao, Peng Wang, Shengyu Mao, Chuanqi Tan, Fei Huang, Huajun Chen, Ningyu Zhang |
| 2023 | Knowledge-Augmented Language Model Verification. Jinheon Baek, Soyeong Jeong, Minki Kang, Jong C. Park, Sung Ju Hwang |
| 2023 | LACMA: Language-Aligning Contrastive Learning with Meta-Actions for Embodied Instruction Following. Cheng-Fu Yang, Yen-Chun Chen, Jianwei Yang, Xiyang Dai, Lu Yuan, Yu-Chiang Frank Wang, Kai-Wei Chang |
| 2023 | LIMIT: Language Identification, Misidentification, and Translation using Hierarchical Models in 350+ Languages. Milind Agarwal, Md Mahfuz Ibn Alam, Antonios Anastasopoulos |
| 2023 | LINC: A Neurosymbolic Approach for Logical Reasoning by Combining Language Models with First-Order Logic Provers. Theo Olausson, Alex Gu, Benjamin Lipkin, Cedegao E. Zhang, Armando Solar-Lezama, Joshua B. Tenenbaum, Roger Levy |
| 2023 | LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models. Zhiqiang Hu, Lei Wang, Yihuai Lan, Wanyu Xu, Ee-Peng Lim, Lidong Bing, Xing Xu, Soujanya Poria, Roy Ka-Wei Lee |
| 2023 | LLM-FP4: 4-Bit Floating-Point Quantized Transformers. Shih-Yang Liu, Zechun Liu, Xijie Huang, Pingcheng Dong, Kwang-Ting Cheng |
| 2023 | LLM-enhanced Self-training for Cross-domain Constituency Parsing. Jianling Li, Meishan Zhang, Peiming Guo, Min Zhang, Yue Zhang |
| 2023 | LLM-powered Data Augmentation for Enhanced Cross-lingual Performance. Chenxi Whitehouse, Monojit Choudhury, Alham Fikri Aji |
| 2023 | LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models. Huiqiang Jiang, Qianhui Wu, Chin-Yew Lin, Yuqing Yang, Lili Qiu |
| 2023 | LM vs LM: Detecting Factual Errors via Cross Examination. Roi Cohen, May Hamri, Mor Geva, Amir Globerson |
| 2023 | Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning. Lean Wang, Lei Li, Damai Dai, Deli Chen, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun |
| 2023 | Language Model Quality Correlates with Psychometric Predictive Power in Multiple Languages. Ethan Wilcox, Clara Meister, Ryan Cotterell, Tiago Pimentel |
| 2023 | Language Model is Suitable for Correction of Handwritten Mathematical Expressions Recognition. Zui Chen, Jiaqi Han, Chaofan Yang, Yi Zhou |
| 2023 | Language Models with Rationality. Nora Kassner, Oyvind Tafjord, Ashish Sabharwal, Kyle Richardson, Hinrich Schütze, Peter Clark |
| 2023 | Language Representation Projection: Can We Transfer Factual Knowledge across Languages in Multilingual Language Models? Shaoyang Xu, Junzhuo Li, Deyi Xiong |
| 2023 | Language and Mental Health: Measures of Emotion Dynamics from Text as Linguistic Biosocial Markers. Daniela Teodorescu, Tiffany Cheng, Alona Fyshe, Saif M. Mohammad |
| 2023 | Large Language Models Can Self-Improve. Jiaxin Huang, Shixiang Gu, Le Hou, Yuexin Wu, Xuezhi Wang, Hongkun Yu, Jiawei Han |
| 2023 | Large Language Models Meet Open-World Intent Discovery and Recognition: An Evaluation of ChatGPT. Xiaoshuai Song, Keqing He, Pei Wang, Guanting Dong, Yutao Mou, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu |
| 2023 | Large Language Models Only Pass Primary School Exams in Indonesia: A Comprehensive Test on IndoMMLU. Fajri Koto, Nurul Aisyah, Haonan Li, Timothy Baldwin |
| 2023 | Large Language Models and Multimodal Retrieval for Visual Word Sense Disambiguation. Anastasia Kritharoula, Maria Lymperaiou, Giorgos Stamou |
| 2023 | Large Language Models are Complex Table Parsers. Bowen Zhao, Changkai Ji, Yuejie Zhang, Wen He, Yingwen Wang, Qing Wang, Rui Feng, Xiaobo Zhang |
| 2023 | Large Language Models are Temporal and Causal Reasoners for Video Question Answering. Dohwan Ko, Ji Soo Lee, Woo-Young Kang, Byungseok Roh, Hyunwoo Kim |
| 2023 | Large Language Models are biased to overestimate profoundness. Eugenio Herrera-Berg, Tomás Vergara Browne, Pablo León-Villagrá, Marc-Lluís Vives, Cristian Buc Calderon |
| 2023 | Large Language Models: The Need for Nuance in Current Debates and a Pragmatic Perspective on Understanding. Bram van Dijk, Tom Kouwenhoven, Marco Spruit, Max Johannes van Duijn |
| 2023 | Large-scale similarity search with Optimal Transport. Cléa Laouar, Yuki Takezawa, Makoto Yamada |
| 2023 | Larger Probes Tell a Different Story: Extending Psycholinguistic Datasets Via In-Context Learning. Namrata Shivagunde, Vladislav Lialin, Anna Rumshisky |
| 2023 | Lazy-k Decoding: Constrained Decoding for Information Extraction. Arthur Hemmer, Mickaël Coustaty, Nicola Bartolo, Jérôme Brachat, Jean-Marc Ogier |
| 2023 | Leap-of-Thought: Accelerating Transformers via Dynamic Token Routing. Yeachan Kim, Junho Kim, Jun-Hyung Park, Mingyu Lee, SangKeun Lee |
| 2023 | Learn and Consolidate: Continual Adaptation for Zero-Shot and Multilingual Neural Machine Translation. Kaiyu Huang, Peng Li, Junpeng Liu, Maosong Sun, Yang Liu |
| 2023 | Learning Co-Speech Gesture for Multimodal Aphasia Type Detection. Daeun Lee, Sejung Son, Hyolim Jeon, Seungbae Kim, Jinyoung Han |
| 2023 | Learning From Free-Text Human Feedback - Collect New Datasets Or Extend Existing Ones? Dominic Petrak, Nafise Sadat Moosavi, Ye Tian, Nikolai Rozanov, Iryna Gurevych |
| 2023 | Learning Knowledge-Enhanced Contextual Language Representations for Domain Natural Language Understanding. Taolin Zhang, Ruyao Xu, Chengyu Wang, Zhongjie Duan, Cen Chen, Minghui Qiu, Dawei Cheng, Xiaofeng He, Weining Qian |
| 2023 | Learning Language-guided Adaptive Hyper-modality Representation for Multimodal Sentiment Analysis. Haoyu Zhang, Yu Wang, Guanghao Yin, Kejun Liu, Yuanyuan Liu, Tianshu Yu |
| 2023 | Learning Preference Model for LLMs via Automatic Preference Data Generation. Shijia Huang, Jianqiao Zhao, Yanyang Li, Liwei Wang |
| 2023 | Learning Retrieval Augmentation for Personalized Dialogue Generation. Qiushi Huang, Shuai Fu, Xubo Liu, Wenwu Wang, Tom Ko, Yu Zhang, Lilian Tang |
| 2023 | Learning from Mistakes via Cooperative Study Assistant for Large Language Models. Danqing Wang, Lei Li |
| 2023 | Learning the Visualness of Text Using Large Vision-Language Models. Gaurav Verma, Ryan A. Rossi, Christopher Tensmeyer, Jiuxiang Gu, Ani Nenkova |
| 2023 | Learning to Describe for Predicting Zero-shot Drug-Drug Interactions. Fangqi Zhu, Yongqi Zhang, Lei Chen, Bing Qin, Ruifeng Xu |
| 2023 | Learning to Predict Task Transferability via Soft Prompt. Lingyun Feng |
| 2023 | Learning to Rank Context for Named Entity Recognition Using a Synthetic Dataset. Arthur Amalvy, Vincent Labatut, Richard Dufour |
| 2023 | Learning to Rank Generation with Pairwise Partial Rewards. Youngwon Lee, Jinu Lee, Seung-won Hwang |
| 2023 | Length Does Matter: Summary Length can Bias Summarization Metrics. Xiaobo Guo, Soroush Vosoughi |
| 2023 | Length is a Curse and a Blessing for Document-level Semantics. Chenghao Xiao, Yizhi Li, G. Thomas Hudson, Chenghua Lin, Noura Al Moubayed |
| 2023 | Let GPT be a Math Tutor: Teaching Math Word Problem Solvers with Customized Exercise Generation. Zhenwen Liang, Wenhao Yu, Tanmay Rajpurohit, Peter Clark, Xiangliang Zhang, Ashwin Kalyan |
| 2023 | Let's Sample Step by Step: Adaptive-Consistency for Efficient Reasoning and Coding with LLMs. Pranjal Aggarwal, Aman Madaan, Yiming Yang, Mausam |
| 2023 | Let's Think Frame by Frame with VIP: A Video Infilling and Prediction Dataset for Evaluating Video Chain-of-Thought. Vaishnavi Himakunthala, Andy Ouyang, Daniel Rose, Ryan He, Alex Mei, Yujie Lu, Chinmay Sonar, Michael Saxon, William Yang Wang |
| 2023 | Lifelong Sequence Generation with Dynamic Module Expansion and Adaptation. Chengwei Qin, Chen Chen, Shafiq Joty |
| 2023 | Linear-Time Modeling of Linguistic Structure: An Order-Theoretic Perspective. Tianyu Liu, Afra Amini, Mrinmaya Sachan, Ryan Cotterell |
| 2023 | Ling-CL: Understanding NLP Models through Linguistic Curricula. Mohamed Elgaar, Hadi Amiri |
| 2023 | Linking Surface Facts to Large-Scale Knowledge Graphs. Gorjan Radevski, Kiril Gashteovski, Chia-Chien Hung, Carolin Lawrence, Goran Glavas |
| 2023 | Lion: Adversarial Distillation of Proprietary Large Language Models. Yuxin Jiang, Chunkit Chan, Mingyang Chen, Wei Wang |
| 2023 | Localizing Active Objects from Egocentric Vision with Symbolic World Knowledge. Te-Lin Wu, Yu Zhou, Nanyun Peng |
| 2023 | Location-Aware Visual Question Generation with Lightweight Models. Nicholas Collin Suwono, Justin Chih-Yao Chen, Tun-Min Hung, Ting-Hao (Kenneth) Huang, I-Bin Liao, Yung-Hui Li, Lun-Wei Ku, Shao-Hua Sun |
| 2023 | Log-FGAER: Logic-Guided Fine-Grained Address Entity Recognition from Multi-Turn Spoken Dialogue. Xue Han, Yitong Wang, Qian Hu, Pengwei Hu, Chao Deng, Junlan Feng |
| 2023 | Longtriever: a Pre-trained Long Text Encoder for Dense Document Retrieval. Junhan Yang, Zheng Liu, Chaozhuo Li, Guangzhong Sun, Xing Xie |
| 2023 | Look-back Decoding for Open-Ended Text Generation. Nan Xu, Chunting Zhou, Asli Celikyilmaz, Xuezhe Ma |
| 2023 | Lost in Translation, Found in Spans: Identifying Claims in Multilingual Social Media. Shubham Mittal, Megha Sundriyal, Preslav Nakov |
| 2023 | M2DF: Multi-grained Multi-curriculum Denoising Framework for Multimodal Aspect-based Sentiment Analysis. Fei Zhao, Chunhui Li, Zhen Wu, Yawen Ouyang, Jianbing Zhang, Xinyu Dai |
| 2023 | MADNet: Maximizing Addressee Deduction Expectation for Multi-Party Conversation Generation. Jia-Chen Gu, Chao-Hong Tan, Caiyuan Chu, Zhen-Hua Ling, Chongyang Tao, Quan Liu, Cong Liu |
| 2023 | MAF: Multi-Aspect Feedback for Improving Reasoning in Large Language Models. Deepak Nathani, David Wang, Liangming Pan, William Yang Wang |
| 2023 | MAGNIFICo: Evaluating the In-Context Learning Ability of Large Language Models to Generalize to Novel Interpretations. Arkil Patel, Satwik Bhattamishra, Siva Reddy, Dzmitry Bahdanau |
| 2023 | MAUD: An Expert-Annotated Legal NLP Dataset for Merger Agreement Understanding. Steven H. Wang, Antoine Scardigli, Leonard Tang, Wei Chen, Dimitry Levkin, Anya Chen, Spencer Ball, Thomas Woodside, Oliver Zhang, Dan Hendrycks |
| 2023 | MEGA: Multilingual Evaluation of Generative AI. Kabir Ahuja, Harshita Diddee, Rishav Hada, Millicent Ochieng, Krithika Ramesh, Prachi Jain, Akshay Uttama Nambi, Tanuja Ganu, Sameer Segal, Mohamed Ahmed, Kalika Bali, Sunayana Sitaram |
| 2023 | MILDSum: A Novel Benchmark Dataset for Multilingual Summarization of Indian Legal Case Judgments. Debtanu Datta, Shubham Soni, Rajdeep Mukherjee, Saptarshi Ghosh |
| 2023 | MMNMT: Modularizing Multilingual Neural Machine Translation with Flexibly Assembled MoE and Dense Blocks. Shangjie Li, Xiangpeng Wei, Shaolin Zhu, Jun Xie, Baosong Yang, Deyi Xiong |
| 2023 | MProto: Multi-Prototype Network with Denoised Optimal Transport for Distantly Supervised Named Entity Recognition. Shuhui Wu, Yongliang Shen, Zeqi Tan, Wenqi Ren, Jietian Guo, Shiliang Pu, Weiming Lu |
| 2023 | MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions. Zexuan Zhong, Zhengxuan Wu, Christopher D. Manning, Christopher Potts, Danqi Chen |
| 2023 | MT2: Towards a Multi-Task Machine Translation Model with Translation-Specific In-Context Learning. Chunyou Li, Mingtong Liu, Hongxiao Zhang, Yufeng Chen, Jinan Xu, Ming Zhou |
| 2023 | MULTITuDE: Large-Scale Multilingual Machine-Generated Text Detection Benchmark. Dominik Macko, Róbert Móro, Adaku Uchendu, Jason Samuel Lucas, Michiharu Yamashita, Matús Pikuliak, Ivan Srba, Thai Le, Dongwon Lee, Jakub Simko, Mária Bieliková |
| 2023 | MaNtLE: Model-agnostic Natural Language Explainer. Rakesh R. Menon, Kerem Zaman, Shashank Srivastava |
| 2023 | MailEx: Email Event and Argument Extraction. Saurabh Srivastava, Gaurav Singh, Shou Matsumoto, Ali K. Raz, Paulo C. G. Costa, Joshua Poore, Ziyu Yao |
| 2023 | Make Every Example Count: On the Stability and Utility of Self-Influence for Learning from Noisy NLP Datasets. Irina Bejan, Artem Sokolov, Katja Filippova |
| 2023 | Making Large Language Models Better Data Creators. Dong-Ho Lee, Jay Pujara, Mohit Sewak, Ryen White, Sujay Kumar Jauhar |
| 2023 | MarkQA: A large scale KBQA dataset with numerical reasoning. Xiang Huang, Sitao Cheng, Yuheng Bao, Shanshan Huang, Yuzhong Qu |
| 2023 | MeaeQ: Mount Model Extraction Attacks with Efficient Queries. Chengwei Dai, Minxuan Lv, Kun Li, Wei Zhou |
| 2023 | MedEval: A Multi-Level, Multi-Task, and Multi-Domain Medical Benchmark for Language Model Evaluation. Zexue He, Yu Wang, An Yan, Yao Liu, Eric Y. Chang, Amilcare Gentili, Julian J. McAuley, Chun-Nan Hsu |
| 2023 | MediaHG: Rethinking Eye-catchy Features in Social Media Headline Generation. Boning Zhang, Yang Yang |
| 2023 | MemeCap: A Dataset for Captioning and Interpreting Memes. Eunjeong Hwang, Vered Shwartz |
| 2023 | Memorisation Cartography: Mapping out the Memorisation-Generalisation Continuum in Neural Machine Translation. Verna Dankers, Ivan Titov, Dieuwke Hupkes |
| 2023 | Memory-Based Invariance Learning for Out-of-Domain Text Classification. Chen Jia, Yue Zhang |
| 2023 | Merging Experts into One: Improving Computational Efficiency of Mixture of Experts. Shwai He, Run-Ze Fan, Liang Ding, Li Shen, Tianyi Zhou, Dacheng Tao |
| 2023 | Merging Generated and Retrieved Knowledge for Open-Domain QA. Yunxiang Zhang, Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang |
| 2023 | Meta-Learning Online Adaptation of Language Models. Nathan Hu, Eric Mitchell, Christopher D. Manning, Chelsea Finn |
| 2023 | MingOfficial: A Ming Official Career Dataset and a Historical Context-Aware Representation Learning Framework. You-Jun Chen, Hsin-Yi Hsieh, Yu Lin, Yingtao Tian, Bert Chan, Yu-Sin Liu, Yi-Hsuan Lin, Richard Tzong-Han Tsai |
| 2023 | Mirages. On Anthropomorphism in Dialogue Systems. Gavin Abercrombie, Amanda Cercas Curry, Tanvi Dinkar, Verena Rieser, Zeerak Talat |
| 2023 | Mirror: A Universal Framework for Various Information Extraction Tasks. Tong Zhu, Junfei Ren, Zijian Yu, Mengsong Wu, Guoliang Zhang, Xiaoye Qu, Wenliang Chen, Zhefeng Wang, Baoxing Huai, Min Zhang |
| 2023 | Mitigating Backdoor Poisoning Attacks through the Lens of Spurious Correlation. Xuanli He, Qiongkai Xu, Jun Wang, Benjamin I. P. Rubinstein, Trevor Cohn |
| 2023 | Mitigating Over-Generation for Unsupervised Keyphrase Extraction with Heterogeneous Centrality Detection. Mingyang Song, Pengyu Xu, Yi Feng, Huafeng Liu, Liping Jing |
| 2023 | Mitigating Temporal Misalignment by Discarding Outdated Facts. Michael J. Q. Zhang, Eunsol Choi |
| 2023 | MoPe: Model Perturbation based Privacy Attacks on Language Models. Marvin Li, Jason Wang, Jeffrey G. Wang, Seth Neel |
| 2023 | MoT: Memory-of-Thought Enables ChatGPT to Self-Improve. Xiaonan Li, Xipeng Qiu |
| 2023 | Model-tuning Via Prompts Makes NLP Models Adversarially Robust. Mrigank Raman, Pratyush Maini, J. Zico Kolter, Zachary C. Lipton, Danish Pruthi |
| 2023 | Modeling Conceptual Attribute Likeness and Domain Inconsistency for Metaphor Detection. Yuan Tian, Nan Xu, Wenji Mao, Daniel Zeng |
| 2023 | Modeling Empathic Similarity in Personal Narratives. Jocelyn Shen, Maarten Sap, Pedro Colon-Hernandez, Hae Park, Cynthia Breazeal |
| 2023 | Modeling Legal Reasoning: LM Annotation at the Edge of Human Agreement. Rosamond Elizabeth Thalken, Edward H. Stiglitz, David Mimno, Matthew Wilkens |
| 2023 | Models See Hallucinations: Evaluating the Factuality in Video Captioning. Hui Liu, Xiaojun Wan |
| 2023 | MolCA: Molecular Graph-Language Modeling with Cross-Modal Projector and Uni-Modal Adapter. Zhiyuan Liu, Sihang Li, Yanchen Luo, Hao Fei, Yixin Cao, Kenji Kawaguchi, Xiang Wang, Tat-Seng Chua |
| 2023 | More Than Spoken Words: Nonverbal Message Extraction and Generation. Dian Yu, Xiaoyang Wang, Wanshun Chen, Nan Du, Longyue Wang, Haitao Mi, Dong Yu |
| 2023 | Multi-Source Multi-Type Knowledge Exploration and Exploitation for Dialogue Generation. Xuanfan Ni, Hongliang Dai, Zhaochun Ren, Piji Li |
| 2023 | Multi-Source Probing for Open-Domain Conversational Understanding. Yuanxi Li, Hao Zhou, Jie Zhou, Minlie Huang |
| 2023 | Multi-Task Knowledge Distillation with Embedding Constraints for Scholarly Keyphrase Boundary Classification. Seo Park, Cornelia Caragea |
| 2023 | Multi-level Adaptive Contrastive Learning for Knowledge Internalization in Dialogue Generation. Chenxu Yang, Zheng Lin, Lanrui Wang, Chong Tian, Liang Pang, Jiangnan Li, Qirong Ho, Yanan Cao, Weiping Wang |
| 2023 | Multi-level Contrastive Learning for Script-based Character Understanding. Dawei Li, Hengyuan Zhang, Yanran Li, Shiping Yang |
| 2023 | Multi-view Contrastive Learning for Entity Typing over Knowledge Graphs. Zhiwei Hu, Víctor Gutiérrez-Basulto, Zhiliang Xiang, Ru Li, Jeff Z. Pan |
| 2023 | MultiTurnCleanup: A Benchmark for Multi-Turn Spoken Conversational Transcript Cleanup. Hua Shen, Vicky Zayats, Johann C. Rocholl, Daniel D. Walker, Dirk Padfield |
| 2023 | Multilingual Holistic Bias: Extending Descriptors and Patterns to Unveil Demographic Biases in Languages at Scale. Marta R. Costa-jussà, Pierre Andrews, Eric Michael Smith, Prangthip Hansanti, Christophe Ropers, Elahe Kalbassi, Cynthia Gao, Daniel Licht, Carleigh Wood |
| 2023 | Multilingual Large Language Models Are Not (Yet) Code-Switchers. Ruochen Zhang, Samuel Cahyawijaya, Jan Christian Blaise Cruz, Genta Indra Winata, Alham Fikri Aji |
| 2023 | Multilingual Pixel Representations for Translation and Effective Cross-lingual Transfer. Elizabeth Salesky, Neha Verma, Philipp Koehn, Matt Post |
| 2023 | Multilingual Previously Fact-Checked Claim Retrieval. Matús Pikuliak, Ivan Srba, Róbert Móro, Timo Hromadka, Timotej Smolen, Martin Melisek, Ivan Vykopal, Jakub Simko, Juraj Podrouzek, Mária Bieliková |
| 2023 | Multilingual Simplification of Medical Texts. Sebastian Joseph, Kathryn Kazanas, Keziah Reina, Vishnesh J. Ramanathan, Wei Xu, Byron C. Wallace, Junyi Jessy Li |
| 2023 | Multilingual estimation of political-party positioning: From label aggregation to long-input Transformers. Dmitry Nikolaev, Tanise Ceron, Sebastian Padó |
| 2023 | Multilingual k-Nearest-Neighbor Machine Translation. David Stap, Christof Monz |
| 2023 | Multimodal Embodied Plan Prediction Augmented with Synthetic Embodied Dialogue. Aishwarya Padmakumar, Mert Inan, Spandana Gella, Patrick Lange, Dilek Hakkani-Tur |
| 2023 | Multitask Multimodal Prompted Training for Interactive Embodied Task Completion. Georgios Pantazopoulos, Malvina Nikandrou, Amit Parekh, Bhathiya Hemanthage, Arash Eshghi, Ioannis Konstas, Verena Rieser, Oliver Lemon, Alessandro Suglia |
| 2023 | M³Seg: A Maximum-Minimum Mutual Information Paradigm for Unsupervised Topic Segmentation in ASR Transcripts. Ke Wang, Xiutian Zhao, Yanghui Li, Wei Peng |
| 2023 | NAIL: Lexical Retrieval Indices with Efficient Non-Autoregressive Decoders. Livio Soares, Daniel Gillick, Jeremy R. Cole, Tom Kwiatkowski |
| 2023 | NL2TL: Transforming Natural Languages to Temporal Logics using Large Language Models. Yongchao Chen, Rujul Gandhi, Yang Zhang, Chuchu Fan |
| 2023 | NLI4CT: Multi-Evidence Natural Language Inference for Clinical Trial Reports. Maël Jullien, Marco Valentino, Hannah Frost, Paul O'Regan, Dónal Landers, André Freitas |
| 2023 | NORMSAGE: Multi-Lingual Multi-Cultural Norm Discovery from Conversations On-the-Fly. Yi Fung, Tuhin Chakrabarty, Hao Guo, Owen Rambow, Smaranda Muresan, Heng Ji |
| 2023 | NameGuess: Column Name Expansion for Tabular Data. Jiani Zhang, Zhengyuan Shen, Balasubramaniam Srinivasan, Shen Wang, Huzefa Rangwala, George Karypis |
| 2023 | Natural Disaster Tweets Classification Using Multimodal Data. Mohammad Basit, Bashir Alam, Zubaida Fatima, Salman Shaikh |
| 2023 | Natural Language Decompositions of Implicit Content Enable Better Text Representations. Alexander Miserlis Hoyle, Rupak Sarkar, Pranav Goel, Philip Resnik |
| 2023 | Navigating the Grey Area: How Expressions of Uncertainty and Overconfidence Affect Language Models. Kaitlyn Zhou, Dan Jurafsky, Tatsunori Hashimoto |
| 2023 | Nearest Neighbor Machine Translation is Meta-Optimizer on Output Projection Layer. Ruize Gao, Zhirui Zhang, Yichao Du, Lemao Liu, Rui Wang |
| 2023 | NeuSTIP: A Neuro-Symbolic Model for Link and Time Prediction in Temporal Knowledge Graphs. Ishaan Singh, Navdeep Kaur, Garima Gaur, Mausam |
| 2023 | Noisy Exemplars Make Large Language Models More Robust: A Domain-Agnostic Behavioral Analysis. Hongyi Zheng, Abulhair Saparov |
| 2023 | Non-Autoregressive Math Word Problem Solver with Unified Tree Structure. Yi Bin, Mengqun Han, Wenhao Shi, Lei Wang, Yang Yang, See-Kiong Ng, Heng Tao Shen |
| 2023 | Non-Programmers Can Label Programs Indirectly via Active Examples: A Case Study with Text-to-SQL. Ruiqi Zhong, Charlie Snell, Dan Klein, Jason Eisner |
| 2023 | Non-autoregressive Streaming Transformer for Simultaneous Translation. Zhengrui Ma, Shaolei Zhang, Shoutao Guo, Chenze Shao, Min Zhang, Yang Feng |
| 2023 | Non-autoregressive Text Editing with Copy-aware Latent Alignments. Yu Zhang, Yue Zhang, Leyang Cui, Guohong Fu |
| 2023 | Norm of Word Embedding Encodes Information Gain. Momose Oyama, Sho Yokoi, Hidetoshi Shimodaira |
| 2023 | NormDial: A Comparable Bilingual Synthetic Dialog Dataset for Modeling Social Norm Adherence and Violation. Oliver Li, Mallika Subramanian, Arkadiy Saakyan, Sky CH-Wang, Smaranda Muresan |
| 2023 | Not all Fake News is Written: A Dataset and Analysis of Misleading Video Headlines. Yoo Yeon Sung, Jordan L. Boyd-Graber, Naeemul Hassan |
| 2023 | Not all quantifiers are equal: Probing Transformer-based language models' understanding of generalised quantifiers. Tharindu Madusanka, Iqra Zahid, Hao Li, Ian Pratt-Hartmann, Riza Batista-Navarro |
| 2023 | ORCHID: A Chinese Debate Corpus for Target-Independent Stance Detection and Argumentative Dialogue Summarization. Xiutian Zhao, Ke Wang, Wei Peng |
| 2023 | On Bilingual Lexicon Induction with Large Language Models. Yaoyiran Li, Anna Korhonen, Ivan Vulic |
| 2023 | On Evaluation of Bangla Word Analogies. Mousumi Akter, Souvika Sarkar, Shubhra Kanti Karmaker Santu |
| 2023 | On the Automatic Generation and Simplification of Children's Stories. Maria R. Valentini, Jennifer Weber, Jesus Salcido, Téa Wright, Eliana Colunga, Katharina von der Wense |
| 2023 | On the Benefits of Learning to Route in Mixture-of-Experts Models. Nishanth Dikkala, Nikhil Ghosh, Raghu Meka, Rina Panigrahy, Nikhil Vyas, Xin Wang |
| 2023 | On the Challenges of Using Black-Box APIs for Toxicity Evaluation in Research. Luiza Pozzobon, Beyza Ermis, Patrick Lewis, Sara Hooker |
| 2023 | On the Representational Capacity of Recurrent Neural Language Models. Franz Nowak, Anej Svete, Li Du, Ryan Cotterell |
| 2023 | Once Upon a Time in Graph: Relative-Time Pretraining for Complex Temporal Reasoning. Sen Yang, Xin Li, Lidong Bing, Wai Lam |
| 2023 | Once is Enough: A Light-Weight Cross-Attention for Fast Sentence Pair Modeling. Yuanhang Yang, Shiyi Qi, Chuanyi Liu, Qifan Wang, Cuiyun Gao, Zenglin Xu |
| 2023 | Oolong: Investigating What Makes Transfer Learning Hard with Controlled Studies. Zhengxuan Wu, Alex Tamkin, Isabel Papadimitriou |
| 2023 | Open Information Extraction via Chunks. Kuicai Dong, Aixin Sun, Jung-Jae Kim, Xiaoli Li |
| 2023 | Open-world Semi-supervised Generalized Relation Discovery Aligned in a Real-world Setting. William Hogan, Jiacheng Li, Jingbo Shang |
| 2023 | OpenAsp: A Benchmark for Multi-document Open Aspect-based Summarization. Shmuel Amar, Liat Schiff, Ori Ernst, Asi Shefer, Ori Shapira, Ido Dagan |
| 2023 | Optimized Tokenization for Transcribed Error Correction. Tomer Wullach, Shlomo E. Chazan |
| 2023 | Optimizing Retrieval-augmented Reader Models via Token Elimination. Moshe Berchansky, Peter Izsak, Avi Caciularu, Ido Dagan, Moshe Wasserblat |
| 2023 | OssCSE: Overcoming Surface Structure Bias in Contrastive Learning for Unsupervised Sentence Embedding. Zhan Shi, Guoyin Wang, Ke Bai, Jiwei Li, Xiang Li, Qingjun Cui, Belinda Zeng, Trishul Chilimbi, Xiaodan Zhu |
| 2023 | Out-of-Distribution Generalization in Natural Language Processing: Past, Present, and Future. Linyi Yang, Yaoxian Song, Xuan Ren, Chenyang Lyu, Yidong Wang, Jingming Zhuo, Lingqiao Liu, Jindong Wang, Jennifer Foster, Yue Zhang |
| 2023 | Outlier Dimensions Encode Task Specific Knowledge. William Rudman, Catherine Chen, Carsten Eickhoff |
| 2023 | Outlier Suppression+: Accurate quantization of large language models by equivalent and effective shifting and scaling. Xiuying Wei, Yunchen Zhang, Yuhang Li, Xiangguo Zhang, Ruihao Gong, Jinyang Guo, Xianglong Liu |
| 2023 | P5: Plug-and-Play Persona Prompting for Personalized Response Selection. Joosung Lee, Minsik Oh, Donghun Lee |
| 2023 | PAC-tuning: Fine-tuning Pre-trained Language Models with PAC-driven Perturbed Gradient Descent. Guangliang Liu, Zhiyu Xue, Xitong Zhang, Kristen Marie Johnson, Rongrong Wang |
| 2023 | PALS: Personalized Active Learning for Subjective Tasks in NLP. Kamil Kanclerz, Konrad Karanowski, Julita Bielaniewicz, Marcin Gruza, Piotr Milkowski, Jan Kocon, Przemyslaw Kazienko |
| 2023 | PEFTDebias : Capturing debiasing information using PEFTs. Sumit Agarwal, Aditya Srikanth Veerubhotla, Srijan Bansal |
| 2023 | PHD: Pixel-Based Language Modeling of Historical Documents. Nadav Borenstein, Phillip Rust, Desmond Elliott, Isabelle Augenstein |
| 2023 | PIEClass: Weakly-Supervised Text Classification with Prompting and Noise-Robust Iterative Ensemble Training. Yunyi Zhang, Minhao Jiang, Yu Meng, Yu Zhang, Jiawei Han |
| 2023 | PK-ICR: Persona-Knowledge Interactive Multi-Context Retrieval for Grounded Dialogue. Minsik Oh, Joosung Lee, Jiwei Li, Guoyin Wang |
| 2023 | POE: Process of Elimination for Multiple Choice Reasoning. Chenkai Ma, Xinya Du |
| 2023 | PRCA: Fitting Black-Box Large Language Models for Retrieval Question Answering via Pluggable Reward-Driven Contextual Adapter. Haoyan Yang, Zhitao Li, Yong Zhang, Jianzong Wang, Ning Cheng, Ming Li, Jing Xiao |
| 2023 | PRESTO: A Multilingual Dataset for Parsing Realistic Task-Oriented Dialogs. Rahul Goel, Waleed Ammar, Aditya Gupta, Siddharth Vashishtha, Motoki Sano, Faiz Surani, Max Chang, HyunJeong Choe, David Greene, Chuan He, Rattima Nitisaroj, Anna Trukhina, Shachi Paul, Pararth Shah, Rushin Shah, Zhou Yu |
| 2023 | PROSE: A Pronoun Omission Solution for Chinese-English Spoken Language Translation. Ke Wang, Xiutian Zhao, Yanghui Li, Wei Peng |
| 2023 | PTP: Boosting Stability and Performance of Prompt Tuning with Perturbation-Based Regularizer. Lichang Chen, Jiuhai Chen, Heng Huang, Minhao Cheng |
| 2023 | Parameter-Efficient Language Model Tuning with Active Learning in Low-Resource Settings. Josip Jukic, Jan Snajder |
| 2023 | Parameter-efficient Tuning for Large Language Model without Calculating Its Gradients. Feihu Jin, Jiajun Zhang, Chengqing Zong |
| 2023 | Paraphrase Types for Generation and Detection. Jan Philip Wahle, Bela Gipp, Terry Ruas |
| 2023 | Penalty Decoding: Well Suppress the Self-Reinforcement Effect in Open-Ended Text Generation. Wenhong Zhu, Hongkun Hao, Rui Wang |
| 2023 | People Make Better Edits: Measuring the Efficacy of LLM-Generated Counterfactually Augmented Data for Harmful Language Detection. Indira Sen, Dennis Assenmacher, Mattia Samory, Isabelle Augenstein, Wil M. P. van der Aalst, Claudia Wagner |
| 2023 | Personalized Distillation: Empowering Open-Sourced LLMs with Adaptive Learning for Code Generation. Hailin Chen, Amrita Saha, Steven Chu-Hong Hoi, Shafiq Joty |
| 2023 | Physician Detection of Clinical Harm in Machine Translation: Quality Estimation Aids in Reliance and Backtranslation Identifies Critical Errors. Nikita Mehandru, Sweta Agrawal, Yimin Xiao, Ge Gao, Elaine C. Khoong, Marine Carpuat, Niloufar Salehi |
| 2023 | Plan, Verify and Switch: Integrated Reasoning with Diverse X-of-Thoughts. Tengxiao Liu, Qipeng Guo, Yuqing Yang, Xiangkun Hu, Yue Zhang, Xipeng Qiu, Zheng Zhang |
| 2023 | Pointwise Mutual Information Based Metric and Decoding Strategy for Faithful Generation in Document Grounded Dialogs. Yatin Nandwani, Vineet Kumar, Dinesh Raghu, Sachindra Joshi, Luis A. Lastras |
| 2023 | Poisoning Retrieval Corpora by Injecting Adversarial Passages. Zexuan Zhong, Ziqing Huang, Alexander Wettig, Danqi Chen |
| 2023 | Polar Ducks and Where to Find Them: Enhancing Entity Linking with Duck Typing and Polar Box Embeddings. Mattia Atzeni, Mikhail Plekhanov, Frédéric A. Dreyer, Nora Kassner, Simone Merello, Louis Martin, Nicola Cancedda |
| 2023 | Polyglot or Not? Measuring Multilingual Encyclopedic Knowledge in Foundation Models. Tim Schott, Daniel Furman, Shreshta Bhat |
| 2023 | Post-hoc Utterance Refining Method by Entity Mining for Faithful Knowledge Grounded Conversations. Yoonna Jang, Suhyune Son, Jeongwoo Lee, Junyoung Son, Yuna Hur, Jungwoo Lim, Hyeonseok Moon, Kisu Yang, Heuiseok Lim |
| 2023 | Practical Computational Power of Linear Transformers and Their Recurrent and Self-Referential Extensions. Kazuki Irie, Róbert Csordás, Jürgen Schmidhuber |
| 2023 | Pragmatic Reasoning Unlocks Quantifier Semantics for Foundation Models. Yiyuan Li, Rakesh R. Menon, Sayan Ghosh, Shashank Srivastava |
| 2023 | Pre-Trained Language Models Augmented with Synthetic Scanpaths for Natural Language Understanding. Shuwen Deng, Paul Prasse, David R. Reich, Tobias Scheffer, Lena A. Jäger |
| 2023 | Pre-training Intent-Aware Encoders for Zero- and Few-Shot Intent Classification. Mujeen Sung, James Gung, Elman Mansimov, Nikolaos Pappas, Raphael Shu, Salvatore Romeo, Yi Zhang, Vittorio Castelli |
| 2023 | Pre-training Language Models for Comparative Reasoning. Mengxia Yu, Zhihan Zhang, Wenhao Yu, Meng Jiang |
| 2023 | PreWoMe: Exploiting Presuppositions as Working Memory for Long Form Question Answering. Wookje Han, Jinsol Park, Kyungjae Lee |
| 2023 | Precedent-Enhanced Legal Judgment Prediction with LLM and Domain-Model Collaboration. Yiquan Wu, Siying Zhou, Yifei Liu, Weiming Lu, Xiaozhong Liu, Yating Zhang, Changlong Sun, Fei Wu, Kun Kuang |
| 2023 | Predict and Use: Harnessing Predicted Gaze to Improve Multimodal Sarcasm Detection. Divyank Tiwari, Diptesh Kanojia, Anupama Ray, Apoorva Nunna, Pushpak Bhattacharyya |
| 2023 | Predict the Future from the Past? On the Temporal Data Distribution Shift in Financial Sentiment Classifications. Yue Guo, Chenxi Hu, Yi Yang |
| 2023 | Predictive Chemistry Augmented with Text Retrieval. Yujie Qian, Zhening Li, Zhengkai Tu, Connor W. Coley, Regina Barzilay |
| 2023 | Preserving Knowledge Invariance: Rethinking Robustness Evaluation of Open Information Extraction. Ji Qi, Chuchun Zhang, Xiaozhi Wang, Kaisheng Zeng, Jifan Yu, Jinxin Liu, Lei Hou, Juanzi Li, Xu Bin |
| 2023 | Preserving Privacy Through Dememorization: An Unlearning Technique For Mitigating Memorization Risks In Language Models. Aly M. Kassem, Omar Mahmoud, Sherif Saad |
| 2023 | Primacy Effect of ChatGPT. Yiwei Wang, Yujun Cai, Muhao Chen, Yuxuan Liang, Bryan Hooi |
| 2023 | Privacy Implications of Retrieval-Based Language Models. Yangsibo Huang, Samyak Gupta, Zexuan Zhong, Kai Li, Danqi Chen |
| 2023 | Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, EMNLP 2023, Singapore, December 6-10, 2023 Houda Bouamor, Juan Pino, Kalika Bali |
| 2023 | Program Translation via Code Distillation. Yufan Huang, Mengnan Qi, Yongqiang Yao, Maoquan Wang, Bin Gu, Colin B. Clement, Neel Sundaresan |
| 2023 | Promoting Topic Coherence and Inter-Document Consorts in Multi-Document Summarization via Simplicial Complex and Sheaf Graph. Yash Kumar Atri, Arun Iyer, Tanmoy Chakraborty, Vikram Goyal |
| 2023 | Prompt as Triggers for Backdoor Attack: Examining the Vulnerability in Language Models. Shuai Zhao, Jinming Wen, Anh Tuan Luu, Junbo Zhao, Jie Fu |
| 2023 | Prompt-Based Monte-Carlo Tree Search for Goal-oriented Dialogue Policy Planning. Xiao Yu, Maximillian Chen, Zhou Yu |
| 2023 | Prompt-based Logical Semantics Enhancement for Implicit Discourse Relation Recognition. Chenxu Wang, Ping Jian, Mu Huang |
| 2023 | PromptMix: A Class Boundary Augmentation Method for Large Language Model Distillation. Gaurav Sahu, Olga Vechtomova, Dzmitry Bahdanau, Issam H. Laradji |
| 2023 | PromptST: Abstract Prompt Learning for End-to-End Speech Translation. Tengfei Yu, Liang Ding, Xuebo Liu, Kehai Chen, Meishan Zhang, Dacheng Tao, Min Zhang |
| 2023 | Prompting Large Language Models with Chain-of-Thought for Few-Shot Knowledge Base Question Generation. Yuanyuan Liang, Jianing Wang, Hanlun Zhu, Lei Wang, Weining Qian, Yunshi Lan |
| 2023 | Prompting Scientific Names for Zero-Shot Species Recognition. Shubham Parashar, Zhiqiu Lin, Yanan Li, Shu Kong |
| 2023 | Prompting is not a substitute for probability measurements in large language models. Jennifer Hu, Roger Levy |
| 2023 | Prompting with Pseudo-Code Instructions. Mayank Mishra, Prince Kumar, Riyaz A. Bhat, Rudra Murthy V, Danish Contractor, Srikanth Tamilselvam |
| 2023 | Prototype-based HyperAdapter for Sample-Efficient Multi-task Tuning. Hao Zhao, Jie Fu, Zhaofeng He |
| 2023 | Pushdown Layers: Encoding Recursive Structure in Transformer Language Models. Shikhar Murty, Pratyusha Sharma, Jacob Andreas, Christopher D. Manning |
| 2023 | QA-NatVer: Question Answering for Natural Logic-based Fact Verification. Rami Aly, Marek Strong, Andreas Vlachos |
| 2023 | QTSumm: Query-Focused Summarization over Tabular Data. Yilun Zhao, Zhenting Qi, Linyong Nan, Boyu Mi, Yixin Liu, Weijin Zou, Simeng Han, Ruizhe Chen, Xiangru Tang, Yumo Xu, Dragomir Radev, Arman Cohan |
| 2023 | QUDeval: The Evaluation of Questions Under Discussion Discourse Parsing. Yating Wu, Ritika Mangla, Greg Durrett, Junyi Jessy Li |
| 2023 | Quantifying Character Similarity with Vision Transformers. Xinmei Yang, Abhishek Arora, Shao-Yu Jheng, Melissa Dell |
| 2023 | Quantifying the redundancy between prosody and text. Lukas Wolf, Tiago Pimentel, Evelina Fedorenko, Ryan Cotterell, Alex Warstadt, Ethan Wilcox, Tamar Regev |
| 2023 | Query Rewriting in Retrieval-Augmented Large Language Models. Xinbei Ma, Yeyun Gong, Pengcheng He, Hai Zhao, Nan Duan |
| 2023 | Query-as-context Pre-training for Dense Passage Retrieval. Xing Wu, Guangyuan Ma, Wanhui Qian, Zijia Lin, Songlin Hu |
| 2023 | Query2doc: Query Expansion with Large Language Models. Liang Wang, Nan Yang, Furu Wei |
| 2023 | Question Answering as Programming for Solving Time-Sensitive Questions. Xinyu Zhu, Cheng Yang, Bei Chen, Siheng Li, Jian-Guang Lou, Yujiu Yang |
| 2023 | R2H: Building Multimodal Navigation Helpers that Respond to Help Requests. Yue Fan, Jing Gu, Kaizhi Zheng, Xin Wang |
| 2023 | RAPL: A Relation-Aware Prototype Learning Approach for Few-Shot Document-Level Relation Extraction. Shiao Meng, Xuming Hu, Aiwei Liu, Shuang Li, Fukun Ma, Yawen Yang, Lijie Wen |
| 2023 | ROBBIE: Robust Bias Evaluation of Large Generative Language Models. David Esiobu, Xiaoqing Ellen Tan, Saghar Hosseini, Megan Ung, Yuchen Zhang, Jude Fernandes, Jane Dwivedi-Yu, Eleonora Presani, Adina Williams, Eric Michael Smith |
| 2023 | RainProof: An Umbrella to Shield Text Generator from Out-Of-Distribution Data. Maxime Darrin, Pablo Piantanida, Pierre Colombo |
| 2023 | Random Entity Quantization for Parameter-Efficient Compositional Knowledge Graph Representation. Jiaang Li, Quan Wang, Yi Liu, Licheng Zhang, Zhendong Mao |
| 2023 | Rather a Nurse than a Physician - Contrastive Explanations under Investigation. Oliver Eberle, Ilias Chalkidis, Laura Cabello, Stephanie Brandl |
| 2023 | Rationale-Enhanced Language Models are Better Continual Relation Learners. Weimin Xiong, Yifan Song, Peiyi Wang, Sujian Li |
| 2023 | ReCEval: Evaluating Reasoning Chains via Correctness and Informativeness. Archiki Prasad, Swarnadeep Saha, Xiang Zhou, Mohit Bansal |
| 2023 | ReSee: Responding through Seeing Fine-grained Visual Knowledge in Open-domain Dialogue. Haoqin Tu, Yitong Li, Fei Mi, Zhongliang Yang |
| 2023 | ReTAG: Reasoning Aware Table to Analytic Text Generation. Deepanway Ghosal, Preksha Nema, Aravindan Raghuveer |
| 2023 | Reader: Model-based language-instructed reinforcement learning. Nicola Dainese, Pekka Marttinen, Alexander Ilin |
| 2023 | Reading Books is Great, But Not if You Are Driving! Visually Grounded Reasoning about Defeasible Commonsense Norms. Seungju Han, Junhyeok Kim, Jack Hessel, Liwei Jiang, Jiwan Chung, Yejin Son, Yejin Choi, Youngjae Yu |
| 2023 | Reading Order Matters: Information Extraction from Visually-rich Documents by Token Path Prediction. Chong Zhang, Ya Guo, Yi Tu, Huan Chen, Jinyang Tang, Huijia Zhu, Qi Zhang, Tao Gui |
| 2023 | Reasoning with Language Model is Planning with World Model. Shibo Hao, Yi Gu, Haodi Ma, Joshua Jiahua Hong, Zhen Wang, Daisy Zhe Wang, Zhiting Hu |
| 2023 | ReasoningLM: Enabling Structural Subgraph Reasoning in Pre-trained Language Models for Question Answering over Knowledge Graph. Jinhao Jiang, Kun Zhou, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen |
| 2023 | Reconstruct Before Summarize: An Efficient Two-Step Framework for Condensing and Summarizing Meeting Transcripts. Haochen Tan, Han Wu, Wei Shao, Xinyun Zhang, Mingjie Zhan, Zhaohui Hou, Ding Liang, Linqi Song |
| 2023 | Recurrent Neural Language Models as Probabilistic Finite-state Automata. Anej Svete, Ryan Cotterell |
| 2023 | Reduce Human Labor On Evaluating Conversational Information Retrieval System: A Human-Machine Collaboration Approach. Chen Huang, Peixin Qin, Wenqiang Lei, Jiancheng Lv |
| 2023 | Reducing Sequence Length by Predicting Edit Spans with Large Language Models. Masahiro Kaneko, Naoaki Okazaki |
| 2023 | Referring Image Segmentation via Joint Mask Contextual Embedding Learning and Progressive Alignment Network. Ziling Huang, Shin'ichi Satoh |
| 2023 | Reformulating NLP tasks to Capture Longitudinal Manifestation of Language Disorders in People with Dementia. Dimitris Gkoumas, Matthew Purver, Maria Liakata |
| 2023 | Regulation and NLP (RegNLP): Taming Large Language Models. Catalina Goanta, Nikolaos Aletras, Ilias Chalkidis, Sofia Ranchordás, Gerasimos Spanakis |
| 2023 | Reinforced Target-driven Conversational Promotion. Huy Dao, Lizi Liao, Dung D. Le, Yuxiang Nie |
| 2023 | Reinforcement Replaces Supervision: Query focused Summarization using Deep Reinforcement Learning. Swaroop Nath, Pushpak Bhattacharyya, Harshad Khadilkar |
| 2023 | Relation-aware Ensemble Learning for Knowledge Graph Embedding. Ling Yue, Yongqi Zhang, Quanming Yao, Yong Li, Xian Wu, Ziheng Zhang, Zhenxi Lin, Yefeng Zheng |
| 2023 | RepoCoder: Repository-Level Code Completion Through Iterative Retrieval and Generation. Fengji Zhang, Bei Chen, Yue Zhang, Jacky Keung, Jin Liu, Daoguang Zan, Yi Mao, Jian-Guang Lou, Weizhu Chen |
| 2023 | Representative Demonstration Selection for In-Context Learning with Two-Stage Determinantal Point Process. Zhao Yang, Yuanzhe Zhang, Dianbo Sui, Cao Liu, Jun Zhao, Kang Liu |
| 2023 | Rethinking Model Selection and Decoding for Keyphrase Generation with Pre-trained Sequence-to-Sequence Models. Di Wu, Wasi Uddin Ahmad, Kai-Wei Chang |
| 2023 | Rethinking Negative Pairs in Code Search. Haochen Li, Xin Zhou, Anh Tuan Luu, Chunyan Miao |
| 2023 | Rethinking Word-Level Auto-Completion in Computer-Aided Translation. Xingyu Chen, Lemao Liu, Guoping Huang, Zhirui Zhang, Mingming Yang, Shuming Shi, Rui Wang |
| 2023 | Rethinking and Improving Multi-task Learning for End-to-end Speech Translation. Yuhao Zhang, Chen Xu, Bei Li, Hao Chen, Tong Xiao, Chunliang Zhang, Jingbo Zhu |
| 2023 | Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models. Xiaolei Wang, Xinyu Tang, Xin Zhao, Jingyuan Wang, Ji-Rong Wen |
| 2023 | Retrieval-Generation Alignment for End-to-End Task-Oriented Dialogue System. Weizhou Shen, Yingqi Gao, Canbin Huang, Fanqi Wan, Xiaojun Quan, Wei Bi |
| 2023 | Retrofitting Light-weight Language Models for Emotions using Supervised Contrastive Learning. Sapan Shah, Sreedhar Reddy, Pushpak Bhattacharyya |
| 2023 | Revisiting Automated Topic Model Evaluation with Large Language Models. Dominik Stammbach, Vilém Zouhar, Alexander Miserlis Hoyle, Mrinmaya Sachan, Elliott Ash |
| 2023 | Revisiting Block-based Quantisation: What is Important for Sub-8-bit LLM Inference? Cheng Zhang, Jianyi Cheng, Ilia Shumailov, George A. Constantinides, Yiren Zhao |
| 2023 | Revisiting De-Identification of Electronic Medical Records: Evaluation of Within- and Cross-Hospital Generalization. Yiyang Liu, Jinpeng Li, Enwei Zhu |
| 2023 | Revisiting Instruction Fine-tuned Model Evaluation to Guide Industrial Applications. Manuel Faysse, Gautier Viaud, Céline Hudelot, Pierre Colombo |
| 2023 | Revisiting Machine Translation for Cross-lingual Classification. Mikel Artetxe, Vedanuj Goswami, Shruti Bhosale, Angela Fan, Luke Zettlemoyer |
| 2023 | Revisiting Source Context in Nearest Neighbor Machine Translation. Xuanhong Li, Peng Li, Po Hu |
| 2023 | Revisiting Sparse Retrieval for Few-shot Entity Linking. Yulin Chen, Zhenran Xu, Baotian Hu, Min Zhang |
| 2023 | Revisiting the Knowledge Injection Frameworks. Peng Fu, Yiming Zhang, Haobo Wang, Weikang Qiu, Junbo Zhao |
| 2023 | Revisiting the Optimality of Word Lengths. Tiago Pimentel, Clara Meister, Ethan Wilcox, Kyle Mahowald, Ryan Cotterell |
| 2023 | Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model. Haikang Deng, Colin Raffel |
| 2023 | Re³Dial: Retrieve, Reorganize and Rescale Conversations for Long-Turn Open-Domain Dialogue Pre-training. Jiaxin Wen, Hao Zhou, Jian Guan, Jie Zhou, Minlie Huang |
| 2023 | RoBoCoP: A Comprehensive ROmance BOrrowing COgnate Package and Benchmark for Multilingual Cognate Identification. Liviu P. Dinu, Ana Sabina Uban, Alina Maria Cristea, Anca Dinu, Ioan-Bogdan Iordache, Simona Georgescu, Laurentiu Zoicas |
| 2023 | Robust Prompt Optimization for Large Language Models Against Distribution Shifts. Moxin Li, Wenjie Wang, Fuli Feng, Yixin Cao, Jizhi Zhang, Tat-Seng Chua |
| 2023 | RobustGEC: Robust Grammatical Error Correction Against Subtle Context Perturbation. Yue Zhang, Leyang Cui, Enbo Zhao, Wei Bi, Shuming Shi |
| 2023 | Rumor Detection on Social Media with Crowd Intelligence and ChatGPT-Assisted Networks. Chang Yang, Peng Zhang, Wenbo Qiao, Hui Gao, Jiaming Zhao |
| 2023 | S2abEL: A Dataset for Entity Linking from Scientific Tables. Yuze Lou, Bailey Kuehl, Erin Bransom, Sergey Feldman, Aakanksha Naik, Doug Downey |
| 2023 | SAMRank: Unsupervised Keyphrase Extraction using Self-Attention Map in BERT and GPT-2. Byungha Kang, Youhyun Shin |
| 2023 | SCENE: Self-Labeled Counterfactuals for Extrapolating to Negative Examples. Deqing Fu, Ameya Godbole, Robin Jia |
| 2023 | SCITAB: A Challenging Benchmark for Compositional Reasoning and Claim Verification on Scientific Tables. Xinyuan Lu, Liangming Pan, Qian Liu, Preslav Nakov, Min-Yen Kan |
| 2023 | SEAHORSE: A Multilingual, Multifaceted Dataset for Summarization Evaluation. Elizabeth Clark, Shruti Rijhwani, Sebastian Gehrmann, Joshua Maynez, Roee Aharoni, Vitaly Nikolaev, Thibault Sellam, Aditya Siddhant, Dipanjan Das, Ankur P. Parikh |
| 2023 | SEER : A Knapsack approach to Exemplar Selection for In-Context HybridQA. Jonathan Tonglet, Manon Reusens, Philipp Borchert, Bart Baesens |
| 2023 | SKD-NER: Continual Named Entity Recognition via Span-based Knowledge Distillation with Reinforcement Learning. Yi Chen, Liang He |
| 2023 | SLOG: A Structural Generalization Benchmark for Semantic Parsing. Bingzhi Li, Lucia Donatelli, Alexander Koller, Tal Linzen, Yuekun Yao, Najoung Kim |
| 2023 | SMoP: Towards Efficient and Effective Prompt Tuning with Sparse Mixture-of-Prompts. Joon-Young Choi, Junho Kim, Jun-Hyung Park, Wing-Lam Mok, SangKeun Lee |
| 2023 | SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization. Hyunwoo Kim, Jack Hessel, Liwei Jiang, Peter West, Ximing Lu, Youngjae Yu, Pei Zhou, Ronan Le Bras, Malihe Alikhani, Gunhee Kim, Maarten Sap, Yejin Choi |
| 2023 | SOUL: Towards Sentiment and Opinion Understanding of Language. Yue Deng, Wenxuan Zhang, Sinno Jialin Pan, Lidong Bing |
| 2023 | SPT: Learning to Selectively Insert Prompts for Better Prompt Tuning. Wei Zhu, Ming Tan |
| 2023 | STAIR: Learning Sparse Text and Image Representation in Grounded Tokens. Chen Chen, Bowen Zhang, Liangliang Cao, Jiguang Shen, Tom Gunter, Albin Madappally Jose, Alexander Toshev, Yantao Zheng, Jonathon Shlens, Ruoming Pang, Yinfei Yang |
| 2023 | STINMatch: Semi-Supervised Semantic-Topological Iteration Network for Financial Risk Detection via News Label Diffusion. Xurui Li, Yue Qin, Rui Zhu, Tianqianjin Lin, Yongming Fan, Yangyang Kang, Kaisong Song, Fubang Zhao, Changlong Sun, Haixu Tang, Xiaozhong Liu |
| 2023 | SUT: Active Defects Probing for Transcompiler Models. Mengnan Qi, Yufan Huang, Maoquan Wang, Yongqiang Yao, Zihan Liu, Bin Gu, Colin B. Clement, Neel Sundaresan |
| 2023 | Scalable-DSC: A Structural Template Prompt Approach to Scalable Dialogue State Correction. Haoxiang Su, Hongyan Xie, Hao Huang, Shuangyong Song, Ruiyu Fang, Xiaomeng Huang, Sijie Feng |
| 2023 | ScanDL: A Diffusion Model for Generating Synthetic Scanpaths on Texts. Lena S. Bolliger, David R. Reich, Patrick Haller, Deborah N. Jakobi, Paul Prasse, Lena A. Jäger |
| 2023 | ScdNER: Span-Based Consistency-Aware Document-Level Named Entity Recognition. Ying Wei, Qi Li |
| 2023 | SciRepEval: A Multi-Format Benchmark for Scientific Document Representations. Amanpreet Singh, Mike D'Arcy, Arman Cohan, Doug Downey, Sergey Feldman |
| 2023 | Seeing through the mess: evolutionary dynamics of lexical polysemy. Andreas Baumann, Andreas Stephan, Benjamin Roth |
| 2023 | Select, Prompt, Filter: Distilling Large Language Models for Summarizing Conversations. Minh-Quang Pham, Sathish Indurthi, Shamil Chollampatt, Marco Turchi |
| 2023 | Selective Labeling: How to Radically Lower Data-Labeling Costs for Document Extraction Models. Yichao Zhou, James B. Wendt, Navneet Potti, Jing Xie, Sandeep Tata |
| 2023 | Selectively Answering Ambiguous Questions. Jeremy R. Cole, Michael J. Q. Zhang, Daniel Gillick, Julian Eisenschlos, Bhuwan Dhingra, Jacob Eisenstein |
| 2023 | Self-Detoxifying Language Models via Toxification Reversal. Chak Tou Leong, Yi Cheng, Jiashuo Wang, Jian Wang, Wenjie Li |
| 2023 | Self-Ensemble of N-best Generation Hypotheses by Lexically Constrained Decoding. Ryota Miyano, Tomoyuki Kajiwara, Yuki Arase |
| 2023 | Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks. Haoqi Zheng, Qihuang Zhong, Liang Ding, Zhiliang Tian, Xin Niu, Changjian Wang, Dongsheng Li, Dacheng Tao |
| 2023 | Self-ICL: Zero-Shot In-Context Learning with Self-Generated Demonstrations. Wei-Lin Chen, Cheng-Kuang Wu, Yun-Nung Chen, Hsin-Hsi Chen |
| 2023 | Self-Improvement of Non-autoregressive Model via Sequence-Level Distillation. Yusheng Liao, Shuyang Jiang, Yiqi Li, Yu Wang, Yanfeng Wang |
| 2023 | Self-Influence Guided Data Reweighting for Language Model Pre-training. Megh Thakkar, Tolga Bolukbasi, Sriram Ganapathy, Shikhar Vashishth, Sarath Chandar, Partha Talukdar |
| 2023 | SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models. Potsawee Manakul, Adian Liusie, Mark J. F. Gales |
| 2023 | Semantic Similarity Models for Depression Severity Estimation. Anxo Pérez, Neha Warikoo, Kexin Wang, Javier Parapar, Iryna Gurevych |
| 2023 | Semantic Space Grounded Weighted Decoding for Multi-Attribute Controllable Dialogue Generation. Zhiling Zhang, Mengyue Wu, Kenny Q. Zhu |
| 2023 | Semantic matching for text classification with complex class descriptions. Brian de Silva, Kuan-Wen Huang, Gwang Lee, Karen Hovsepian, Yan Xu, Mingwei Shen |
| 2023 | Semi-automatic Data Enhancement for Document-Level Relation Extraction with Distant Supervision from Large Language Models. Junpeng Li, Zixia Jia, Zilong Zheng |
| 2023 | Semi-supervised multimodal coreference resolution in image narrations. Arushi Goel, Basura Fernando, Frank Keller, Hakan Bilen |
| 2023 | SentiStream: A Co-Training Framework for Adaptive Online Sentiment Analysis in Evolving Data Streams. Yuhao Wu, Karthick Sharma, Chun Seah, Shuhao Zhang |
| 2023 | Sentiment Analysis on Streaming User Reviews via Dual-Channel Dynamic Graph Neural Network. Xin Zhang, Linhai Zhang, Deyu Zhou |
| 2023 | Seq2seq is All You Need for Coreference Resolution. Wenzheng Zhang, Sam Wiseman, Karl Stratos |
| 2023 | SeqXGPT: Sentence-Level AI-Generated Text Detection. Pengyu Wang, Linyang Li, Ke Ren, Botian Jiang, Dong Zhang, Xipeng Qiu |
| 2023 | Set Learning for Generative Information Extraction. Jiangnan Li, Yice Zhang, Bin Liang, Kam-Fai Wong, Ruifeng Xu |
| 2023 | Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study. Boxin Wang, Wei Ping, Peng Xu, Lawrence McAfee, Zihan Liu, Mohammad Shoeybi, Yi Dong, Oleksii Kuchaiev, Bo Li, Chaowei Xiao, Anima Anandkumar, Bryan Catanzaro |
| 2023 | SimCSE++: Improving Contrastive Learning for Sentence Embeddings from Two Perspectives. Jiahao Xu, Wei Shao, Lihui Chen, Lemao Liu |
| 2023 | Simple Temporal Adaptation to Changing Label Sets: Hashtag Prediction via Dense KNN. Niloofar Mireshghallah, Nikolai Vogler, Junxian He, Omar Florez, Ahmed El-Kishky, Taylor Berg-Kirkpatrick |
| 2023 | Simple and Effective Input Reformulations for Translation. Brian Yu, Hansen Lillemark, Kurt Keutzer |
| 2023 | Simplicity Level Estimate (SLE): A Learned Reference-Less Metric for Sentence Simplification. Liam Cripwell, Joël Legrand, Claire Gardent |
| 2023 | Skill-Based Few-Shot Selection for In-Context Learning. Shengnan An, Bo Zhou, Zeqi Lin, Qiang Fu, Bei Chen, Nanning Zheng, Weizhu Chen, Jian-Guang Lou |
| 2023 | Small Language Models Fine-tuned to Coordinate Larger Language Models improve Complex Reasoning. Gurusha Juneja, Subhabrata Dutta, Soumen Chakrabarti, Sunny Manchanda, Tanmoy Chakraborty |
| 2023 | Sociocultural Norm Similarities and Differences via Situational Alignment and Explainable Textual Entailment. Sky CH-Wang, Arkadiy Saakyan, Oliver Li, Zhou Yu, Smaranda Muresan |
| 2023 | Solving Hard Analogy Questions with Relation Embedding Chains. Nitesh Kumar, Steven Schockaert |
| 2023 | Somali Information Retrieval Corpus: Bridging the Gap between Query Translation and Dedicated Language Resources. Abdisalam Badel, Ting Zhong, Wenxin Tai, Fan Zhou |
| 2023 | SpEL: Structured Prediction for Entity Linking. Hassan Shavarani, Anoop Sarkar |
| 2023 | Sparse Low-rank Adaptation of Pre-trained Language Models. Ning Ding, Xingtai Lv, Qiaosen Wang, Yulin Chen, Bowen Zhou, Zhiyuan Liu, Maosong Sun |
| 2023 | Sparse Universal Transformer. Shawn Tan, Yikang Shen, Zhenfang Chen, Aaron C. Courville, Chuang Gan |
| 2023 | Speak, Memory: An Archaeology of Books Known to ChatGPT/GPT-4. Kent K. Chang, Mackenzie Cramer, Sandeep Soni, David Bamman |
| 2023 | Specialist or Generalist? Instruction Tuning for Specific NLP Tasks. Chufan Shi, Yixuan Su, Cheng Yang, Yujiu Yang, Deng Cai |
| 2023 | Speech Recognition and Meaning Interpretation: Towards Disambiguation of Structurally Ambiguous Spoken Utterances in Indonesian. Ruhiyah Widiaputri, Ayu Purwarianti, Dessi Puji Lestari, Kurniawati Azizah, Dipta Tanaya, Sakriani Sakti |
| 2023 | Speech-enriched Memory for Inference-time Adaptation of ASR Models to Word Dictionaries. Ashish R. Mittal, Sunita Sarawagi, Preethi Jyothi, George Saon, Gakuto Kurata |
| 2023 | Spoiler Detection as Semantic Text Matching. Ryan Tran, Canwen Xu, Julian J. McAuley |
| 2023 | Stance Detection on Social Media with Background Knowledge. Ang Li, Bin Liang, Jingqian Zhao, Bowen Zhang, Min Yang, Ruifeng Xu |
| 2023 | Standardizing Distress Analysis: Emotion-Driven Distress Identification and Cause Extraction (DICE) in Multimodal Online Posts. Gopendra Vikram Singh, Soumitra Ghosh, Atul Verma, Chetna Painkra, Asif Ekbal |
| 2023 | Statistical Depth for Ranking and Characterizing Transformer-Based Text Embeddings. Parker Seegmiller, Sarah Preum |
| 2023 | StereoMap: Quantifying the Awareness of Human-like Stereotypes in Large Language Models. Sullam Jeoung, Yubin Ge, Jana Diesner |
| 2023 | Stop Uploading Test Data in Plain Text: Practical Strategies for Mitigating Data Contamination by Evaluation Benchmarks. Alon Jacovi, Avi Caciularu, Omer Goldman, Yoav Goldberg |
| 2023 | StoryAnalogy: Deriving Story-level Analogies from Large Language Models to Unlock Analogical Understanding. Cheng Jiayang, Lin Qiu, Tsz Ho Chan, Tianqing Fang, Weiqi Wang, Chunkit Chan, Dongyu Ru, Qipeng Guo, Hongming Zhang, Yangqiu Song, Yue Zhang, Zheng Zhang |
| 2023 | StrAE: Autoencoding for Pre-Trained Embeddings using Explicit Structure. Mattia Opper, Victor Prokhorov, Siddharth Narayanaswamy |
| 2023 | Struct-XLM: A Structure Discovery Multilingual Language Model for Enhancing Cross-lingual Transfer through Reinforcement Learning. Linjuan Wu, Weiming Lu |
| 2023 | StructGPT: A General Framework for Large Language Model to Reason over Structured Data. Jinhao Jiang, Kun Zhou, Zican Dong, Keming Ye, Xin Zhao, Ji-Rong Wen |
| 2023 | Structural Priming Demonstrates Abstract Grammatical Representations in Multilingual Language Models. James A. Michaelov, Catherine Arnett, Tyler A. Chang, Ben Bergen |
| 2023 | Structural generalization in COGS: Supertagging is (almost) all you need. Alban Petit, Caio F. Corro, François Yvon |
| 2023 | Structure-aware Knowledge Graph-to-text Generation with Planning Selection and Similarity Distinction. Feng Zhao, Hongzhi Zou, Cheng Yan |
| 2023 | SummEdits: Measuring LLM Ability at Factual Reasoning Through The Lens of Summarization. Philippe Laban, Wojciech Kryscinski, Divyansh Agarwal, Alexander R. Fabbri, Caiming Xiong, Shafiq Joty, Chien-Sheng Wu |
| 2023 | SuperDialseg: A Large-scale Dataset for Supervised Dialogue Segmentation. Junfeng Jiang, Chengzhang Dong, Sadao Kurohashi, Akiko Aizawa |
| 2023 | Superlim: A Swedish Language Understanding Evaluation Benchmark. Aleksandrs Berdicevskis, Gerlof Bouma, Robin Kurtz, Felix Morger, Joey Öhman, Yvonne Adesam, Lars Borin, Dana Dannélls, Markus Forsberg, Tim Isbister, Anna Lindahl, Martin Malmsten, Faton Rekathati, Magnus Sahlgren, Elena Volodina, Love Börjeson, Simon Hengchen, Nina Tahmasebi |
| 2023 | Support or Refute: Analyzing the Stance of Evidence to Detect Out-of-Context Mis- and Disinformation. Xin Yuan, Jie Guo, Weidong Qiu, Zheng Huang, Shujun Li |
| 2023 | Syllogistic Reasoning for Legal Judgment Analysis. Wentao Deng, Jiahuan Pei, Keyi Kong, Zhe Chen, Furu Wei, Yujun Li, Zhaochun Ren, Zhumin Chen, Pengjie Ren |
| 2023 | Symbol tuning improves in-context learning in language models. Jerry W. Wei, Le Hou, Andrew K. Lampinen, Xiangning Chen, Da Huang, Yi Tay, Xinyun Chen, Yifeng Lu, Denny Zhou, Tengyu Ma, Quoc V. Le |
| 2023 | Symbolic Planning and Code Generation for Grounded Dialogue. Justin T. Chiu, Wenting Zhao, Derek Chen, Saujas Vaduguru, Alexander M. Rush, Daniel Fried |
| 2023 | Syntactic Substitutability as Unsupervised Dependency Syntax. Jasper Jian, Siva Reddy |
| 2023 | Synthetic Data Generation with Large Language Models for Text Classification: Potential and Limitations. Zhuoyan Li, Hangxiao Zhu, Zhuoran Lu, Ming Yin |
| 2023 | System Combination via Quality Estimation for Grammatical Error Correction. Muhammad Reza Qorib, Hwee Tou Ng |
| 2023 | Systematic word meta-sense extension. Lei Yu |
| 2023 | TATA: Stance Detection via Topic-Agnostic and Topic-Aware Embeddings. Hans W. A. Hanley, Zakir Durumeric |
| 2023 | TCFLE-8: a Corpus of Learner Written Productions for French as a Foreign Language and its Application to Automated Essay Scoring. Rodrigo Wilkens, Alice Pintard, David Alfter, Vincent Folny, Thomas François |
| 2023 | TIMELINE: Exhaustive Annotation of Temporal Relations Supporting the Automatic Ordering of Events in News Articles. Sarah Alsayyahi, Riza Batista-Navarro |
| 2023 | TLM: Token-Level Masking for Transformers. Yangjun Wu, Kebin Fang, Dongxiang Zhang, Han Wang, Hao Zhang, Gang Chen |
| 2023 | TOD-Flow: Modeling the Structure of Task-Oriented Dialogues. Sungryull Sohn, Yiwei Lyu, Anthony Z. Liu, Lajanugen Logeswaran, Dong-Ki Kim, Dongsub Shim, Honglak Lee |
| 2023 | TRAVEL: Tag-Aware Conversational FAQ Retrieval via Reinforcement Learning. Yue Chen, Dingnan Jin, Chen Huang, Jia Liu, Wenqiang Lei |
| 2023 | TRIGO: Benchmarking Formal Mathematical Proof Reduction for Generative Language Models. Jing Xiong, Jianhao Shen, Ye Yuan, Haiming Wang, Yichun Yin, Zhengying Liu, Lin Li, Zhijiang Guo, Qingxing Cao, Yinya Huang, Chuanyang Zheng, Xiaodan Liang, Ming Zhang, Qun Liu |
| 2023 | TacoPrompt: A Collaborative Multi-Task Prompt Learning Method for Self-Supervised Taxonomy Completion. Hongyuan Xu, Ciyi Liu, Yuhang Niu, Yunong Chen, Xiangrui Cai, Yanlong Wen, Xiaojie Yuan |
| 2023 | Tagging-Assisted Generation Model with Encoder and Decoder Supervision for Aspect Sentiment Triplet Extraction. Xianlong Luo, Meng Yang, Yihao Wang |
| 2023 | Target-Agnostic Gender-Aware Contrastive Learning for Mitigating Bias in Multilingual Machine Translation. Minwoo Lee, Hyukhun Koh, Kang-il Lee, Dongdong Zhang, Minsung Kim, Kyomin Jung |
| 2023 | Target-oriented Proactive Dialogue Systems with Personalization: Problem Formulation and Dataset Curation. Jian Wang, Yi Cheng, Dongding Lin, Chak Tou Leong, Wenjie Li |
| 2023 | Target-to-Source Augmentation for Aspect Sentiment Triplet Extraction. Yice Zhang, Yifan Yang, Meng Li, Bin Liang, Shiwei Chen, Ruifeng Xu |
| 2023 | Task-Adaptive Tokenization: Enhancing Long-Form Text Generation Efficacy in Mental Health and Beyond. Siyang Liu, Naihao Deng, Sahand Sabour, Yilin Jia, Minlie Huang, Rada Mihalcea |
| 2023 | Task-Agnostic Low-Rank Adapters for Unseen English Dialects. Zedian Xiao, William Barr Held, Yanchen Liu, Diyi Yang |
| 2023 | Task-Level Thinking Steps Help Large Language Models for Challenging Classification Task. Chunhui Du, Jidong Tian, Haoran Liao, Jindou Chen, Hao He, Yaohui Jin |
| 2023 | TaskDiff: A Similarity Metric for Task-Oriented Conversations. Ankita Bhaumik, Praveen Venkateswaran, Yara Rizk, Vatche Isahagian |
| 2023 | TaskWeb: Selecting Better Source Tasks for Multi-task NLP. Joongwon Kim, Akari Asai, Gabriel Ilharco, Hannaneh Hajishirzi |
| 2023 | Taxonomy Expansion for Named Entity Recognition. Karthikeyan K, Yogarshi Vyas, Jie Ma, Giovanni Paolini, Neha Anna John, Shuai Wang, Yassine Benajiba, Vittorio Castelli, Dan Roth, Miguel Ballesteros |
| 2023 | TempTabQA: Temporal Question Answering for Semi-Structured Tables. Vivek Gupta, Pranshu Kandoi, Mahek Bhavesh Vora, Shuo Zhang, Yujie He, Ridho Reinanda, Vivek Srikumar |
| 2023 | Temporal Knowledge Graph Forecasting Without Knowledge Using In-Context Learning. Dong-Ho Lee, Kian Ahrabian, Woojeong Jin, Fred Morstatter, Jay Pujara |
| 2023 | Text Embeddings Reveal (Almost) As Much As Text. John X. Morris, Volodymyr Kuleshov, Vitaly Shmatikov, Alexander M. Rush |
| 2023 | Text Fact Transfer. Nishant Balepur, Jie Huang, Kevin Chen-Chuan Chang |
| 2023 | Text Rendering Strategies for Pixel Language Models. Jonas F. Lotz, Elizabeth Salesky, Phillip Rust, Desmond Elliott |
| 2023 | Text Representation Distillation via Information Bottleneck Principle. Yanzhao Zhang, Dingkun Long, Zehan Li, Pengjun Xie |
| 2023 | Text encoders bottleneck compositionality in contrastive vision-language models. Amita Kamath, Jack Hessel, Kai-Wei Chang |
| 2023 | Text-Transport: Toward Learning Causal Effects of Natural Language. Victoria Lin, Louis-Philippe Morency, Eli Ben-Michael |
| 2023 | The ACL OCL Corpus: Advancing Open Science in Computational Linguistics. Shaurya Rohatgi, Yanxia Qin, Benjamin Aw, Niranjana Unnithan, Min-Yen Kan |
| 2023 | The Art of SOCRATIC QUESTIONING: Recursive Thinking with Large Language Models. Jingyuan Qi, Zhiyang Xu, Ying Shen, Minqian Liu, Di Jin, Qifan Wang, Lifu Huang |
| 2023 | The BLA Benchmark: Investigating Basic Language Abilities of Pre-Trained Multimodal Models. Xinyi Chen, Raquel Fernández, Sandro Pezzelle |
| 2023 | The Benefits of Label-Description Training for Zero-Shot Text Classification. Lingyu Gao, Debanjan Ghosh, Kevin Gimpel |
| 2023 | The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning. Seungone Kim, Se June Joo, Doyoung Kim, Joel Jang, Seonghyeon Ye, Jamin Shin, Minjoon Seo |
| 2023 | The Curious Case of Hallucinatory (Un)answerability: Finding Truths in the Hidden States of Over-Confident Large Language Models. Aviv Slobodkin, Omer Goldman, Avi Caciularu, Ido Dagan, Shauli Ravfogel |
| 2023 | The Distributional Hypothesis Does Not Fully Explain the Benefits of Masked Language Model Pretraining. Ting-Rui Chiang, Dani Yogatama |
| 2023 | The Effect of Scaling, Retrieval Augmentation and Form on the Factual Consistency of Language Models. Lovisa Hagström, Denitsa Saynova, Tobias Norlund, Moa Johansson, Richard Johansson |
| 2023 | The Framework Tax: Disparities Between Inference Efficiency in NLP Research and Deployment. Jared Fernandez, Jacob Kahn, Clara Na, Yonatan Bisk, Emma Strubell |
| 2023 | The Past, Present and Better Future of Feedback Learning in Large Language Models for Subjective Human Preferences and Values. Hannah Kirk, Andrew M. Bean, Bertie Vidgen, Paul Röttger, Scott Hale |
| 2023 | The Sentiment Problem: A Critical Survey towards Deconstructing Sentiment Analysis. Pranav Venkit, Mukund Srinath, Sanjana Gautam, Saranya Venkatraman, Vipul Gupta, Rebecca J. Passonneau, Shomir Wilson |
| 2023 | The Shifted and The Overlooked: A Task-oriented Investigation of User-GPT Interactions. Siru Ouyang, Shuohang Wang, Yang Liu, Ming Zhong, Yizhu Jiao, Dan Iter, Reid Pryzant, Chenguang Zhu, Heng Ji, Jiawei Han |
| 2023 | The Skipped Beat: A Study of Sociopragmatic Understanding in LLMs for 64 Languages. Chiyu Zhang, Khai Duy Doan, Qisheng Liao, Muhammad Abdul-Mageed |
| 2023 | The Troubling Emergence of Hallucination in Large Language Models - An Extensive Definition, Quantification, and Prescriptive Remediations. Vipula Rawte, Swagata Chakraborty, Agnibh Pathak, Anubhav Sarkar, S. M. Towhidul Islam Tonmoy, Aman Chadha, Amit P. Sheth, Amitava Das |
| 2023 | The neural dynamics of word recognition and integration. Jon Gauthier, Roger Levy |
| 2023 | TheoremQA: A Theorem-driven Question Answering Dataset. Wenhu Chen, Ming Yin, Max Ku, Pan Lu, Yixin Wan, Xueguang Ma, Jianyu Xu, Xinyi Wang, Tony Xia |
| 2023 | Theory of Mind for Multi-Agent Collaboration via Large Language Models. Huao Li, Yu Quan Chong, Simon Stepputtis, Joseph Campbell, Dana Hughes, Charles Lewis, Katia P. Sycara |
| 2023 | This Reads Like That: Deep Learning for Interpretable Natural Language Processing. Claudio Fanconi, Moritz Vandenhirtz, Severin Husmann, Julia E. Vogt |
| 2023 | This is not a Dataset: A Large Negation Benchmark to Challenge Large Language Models. Iker García-Ferrero, Begoña Altuna, Javier Álvez, Itziar Gonzalez-Dios, German Rigau |
| 2023 | Three Stream Based Multi-level Event Contrastive Learning for Text-Video Event Extraction. Jiaqi Li, Chuanyi Zhang, Miaozeng Du, Dehai Min, Yongrui Chen, Guilin Qi |
| 2023 | Ties Matter: Meta-Evaluating Modern Metrics with Pairwise Accuracy and Tie Calibration. Daniel Deutsch, George F. Foster, Markus Freitag |
| 2023 | To Build Our Future, We Must Know Our Past: Contextualizing Paradigm Shifts in Natural Language Processing. Sireesh Gururaja, Amanda Bertsch, Clara Na, David Gray Widder, Emma Strubell |
| 2023 | To Split or Not to Split: Composing Compounds in Contextual Vector Spaces. Christopher Jenkins, Filip Miletic, Sabine Schulte im Walde |
| 2023 | ToViLaG: Your Visual-Language Generative Model is Also An Evildoer. Xinpeng Wang, Xiaoyuan Yi, Han Jiang, Shanlin Zhou, Zhihua Wei, Xing Xie |
| 2023 | Token Prediction as Implicit Classification to Identify LLM-Generated Text. Yutian Chen, Hao Kang, Vivian Zhai, Liangze Li, Rita Singh, Bhiksha Raj |
| 2023 | ToolWriter: Question Specific Tool Synthesis for Tabular Data. Carlos Gemmell, Jeff Dalton |
| 2023 | TopWORDS-Poetry: Simultaneous Text Segmentation and Word Discovery for Classical Chinese Poetry via Bayesian Inference. Changzai Pan, Feiyue Li, Ke Deng |
| 2023 | Toward a Critical Toponymy Framework for Named Entity Recognition: A Case Study of Airbnb in New York City. Mikael Brunila, Jack LaViolette, Sky CH-Wang, Priyanka Verma, Clara Féré, Grant McKenzie |
| 2023 | Towards A Unified View of Sparse Feed-Forward Network in Pretraining Large Language Model. Zeyu Liu, Tim Dettmers, Xi Lin, Veselin Stoyanov, Xian Li |
| 2023 | Towards Building More Robust NER datasets: An Empirical Study on NER Dataset Bias from a Dataset Difficulty View. Ruotian Ma, Xiaolei Wang, Xin Zhou, Qi Zhang, Xuanjing Huang |
| 2023 | Towards Conceptualization of "Fair Explanation": Disparate Impacts of anti-Asian Hate Speech Explanations on Content Moderators. Tin Nguyen, Jiannan Xu, Aayushi Roy, Hal Daumé III, Marine Carpuat |
| 2023 | Towards Example-Based NMT with Multi-Levenshtein Transformers. Maxime Bouthors, Josep Maria Crego, François Yvon |
| 2023 | Towards Interpretable Mental Health Analysis with Large Language Models. Kailai Yang, Shaoxiong Ji, Tianlin Zhang, Qianqian Xie, Ziyan Kuang, Sophia Ananiadou |
| 2023 | Towards Interpretable and Efficient Automatic Reference-Based Summarization Evaluation. Yixin Liu, Alexander R. Fabbri, Yilun Zhao, Pengfei Liu, Shafiq Joty, Chien-Sheng Wu, Caiming Xiong, Dragomir Radev |
| 2023 | Towards LLM-driven Dialogue State Tracking. Yujie Feng, Zexin Lu, Bo Liu, Liming Zhan, Xiao-Ming Wu |
| 2023 | Towards Low-Resource Automatic Program Repair with Meta-Learning and Pretrained Language Models. Weishi Wang, Yue Wang, Steven C. H. Hoi, Shafiq Joty |
| 2023 | Towards Noise-Tolerant Speech-Referring Video Object Segmentation: Bridging Speech and Text. Xiang Li, Jinglu Wang, Xiaohao Xu, Muqiao Yang, Fan Yang, Yizhou Zhao, Rita Singh, Bhiksha Raj |
| 2023 | Towards Reliable Misinformation Mitigation: Generalization, Uncertainty, and GPT-4. Kellin Pelrine, Anne Imouza, Camille Thibault, Meilina Reksoprodjo, Caleb Gupta, Joel Christoph, Jean-François Godbout, Reihaneh Rabbany |
| 2023 | Towards Robust Pruning: An Adaptive Knowledge-Retention Pruning Strategy for Language Models. Jianwei Li, Qi Lei, Wei Cheng, Dongkuan Xu |
| 2023 | Towards Unsupervised Recognition of Token-level Semantic Differences in Related Documents. Jannis Vamvas, Rico Sennrich |
| 2023 | Towards a Better Understanding of Variations in Zero-Shot Neural Machine Translation Performance. Shaomu Tan, Christof Monz |
| 2023 | Towards a Mechanistic Interpretation of Multi-Step Reasoning Capabilities of Language Models. Yifan Hou, Jiaoda Li, Yu Fei, Alessandro Stolfo, Wangchunshu Zhou, Guangtao Zeng, Antoine Bosselut, Mrinmaya Sachan |
| 2023 | Towards a Unified Conversational Recommendation System: Multi-task Learning via Contextualized Knowledge Distillation. Yeongseo Jung, Eunseo Jung, Lei Chen |
| 2023 | Training Simultaneous Speech Translation with Robust and Random Wait-k-Tokens Strategy. Linlin Zhang, Kai Fan, Jiajun Bu, Zhongqiang Huang |
| 2023 | Transcending Scaling Laws with 0.1% Extra Compute. Yi Tay, Jason Wei, Hyung Won Chung, Vinh Q. Tran, David R. So, Siamak Shakeri, Xavier Garcia, Huaixiu Steven Zheng, Jinfeng Rao, Aakanksha Chowdhery, Denny Zhou, Donald Metzler, Slav Petrov, Neil Houlsby, Quoc V. Le, Mostafa Dehghani |
| 2023 | Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models. Pierre Colombo, Victor Pellegrain, Malik Boudiaf, Myriam Tami, Victor Storchan, Ismail Ben Ayed, Pablo Piantanida |
| 2023 | Transfer-Free Data-Efficient Multilingual Slot Labeling. Evgeniia Razumovskaia, Ivan Vulic, Anna Korhonen |
| 2023 | Transformer-based Live Update Generation for Soccer Matches from Microblog Posts. Masashi Oshika, Kosuke Yamada, Ryohei Sasano, Koichi Takeda |
| 2023 | Translating away Translationese without Parallel Data. Rricha Jalota, Koel Dutta Chowdhury, Cristina España-Bonet, Josef van Genabith |
| 2023 | Tree Prompting: Efficient Task Adaptation without Fine-Tuning. Chandan Singh, John X. Morris, Alexander M. Rush, Jianfeng Gao, Yuntian Deng |
| 2023 | Tree of Clarifications: Answering Ambiguous Questions with Retrieval-Augmented Large Language Models. Gangwoo Kim, Sungdong Kim, Byeongguk Jeon, Joonsuk Park, Jaewoo Kang |
| 2023 | TrojanSQL: SQL Injection against Natural Language Interface to Database. Jinchuan Zhang, Yan Zhou, Binyuan Hui, Yaxin Liu, Ziming Li, Songlin Hu |
| 2023 | TrueTeacher: Learning Factual Consistency Evaluation with Large Language Models. Zorik Gekhman, Jonathan Herzig, Roee Aharoni, Chen Elkind, Idan Szpektor |
| 2023 | Turn-Level Active Learning for Dialogue State Tracking. Zihan Zhang, Meng Fang, Fanghua Ye, Ling Chen, Mohammad-Reza Namazi-Rad |
| 2023 | UDAPDR: Unsupervised Domain Adaptation via LLM Prompting and Distillation of Rerankers. Jon Saad-Falcon, Omar Khattab, Keshav Santhanam, Radu Florian, Martin Franz, Salim Roukos, Avirup Sil, Md. Arafat Sultan, Christopher Potts |
| 2023 | ULF: Unsupervised Labeling Function Correction using Cross-Validation for Weak Supervision. Anastasiia Sedova, Benjamin Roth |
| 2023 | UPRISE: Universal Prompt Retrieval for Improving Zero-Shot Evaluation. Daixuan Cheng, Shaohan Huang, Junyu Bi, Yuefeng Zhan, Jianfeng Liu, Yujing Wang, Hao Sun, Furu Wei, Weiwei Deng, Qi Zhang |
| 2023 | Uncertainty Guided Global Memory Improves Multi-Hop Question Answering. Alsu Sagirova, Mikhail Burtsev |
| 2023 | Understanding Compositional Data Augmentation in Typologically Diverse Morphological Inflection. Farhan Samir, Miikka Silfverberg |
| 2023 | Understanding Computational Models of Semantic Change: New Insights from the Speech Community. Filip Miletic, Anne Przewozny-Desriaux, Ludovic Tanguy |
| 2023 | Understanding the Effect of Model Compression on Social Bias in Large Language Models. Gustavo Gonçalves, Emma Strubell |
| 2023 | Understanding the Inner-workings of Language Models Through Representation Dissimilarity. Davis Brown, Charles Godfrey, Nicholas Konz, Jonathan H. Tu, Henry Kvinge |
| 2023 | Understanding the Role of Input Token Characters in Language Models: How Does Information Loss Affect Performance? Ahmed Alajrami, Katerina Margatina, Nikolaos Aletras |
| 2023 | UniChart: A Universal Vision-language Pretrained Model for Chart Comprehension and Reasoning. Ahmed Masry, Parsa Kavehzadeh, Do Xuan Long, Enamul Hoque, Shafiq Joty |
| 2023 | UniMath: A Foundational and Multimodal Mathematical Reasoner. Zhenwen Liang, Tianyu Yang, Jipeng Zhang, Xiangliang Zhang |
| 2023 | Unified Low-Resource Sequence Labeling by Sample-Aware Dynamic Sparse Finetuning. Sarkar Snigdha Sarathi Das, Haoran Zhang, Peng Shi, Wenpeng Yin, Rui Zhang |
| 2023 | Unifying Cross-Lingual Transfer across Scenarios of Resource Scarcity. Alan Ansell, Marinela Parovic, Ivan Vulic, Anna Korhonen, Edoardo M. Ponti |
| 2023 | Unifying Discrete and Continuous Representations for Unsupervised Paraphrase Generation. Mingfeng Xue, Dayiheng Liu, Wenqiang Lei, Jie Fu, Jian Lan, Mei Li, Baosong Yang, Jun Xie, Yidan Zhang, Dezhong Peng, Jiancheng Lv |
| 2023 | Universal Self-Adaptive Prompting. Xingchen Wan, Ruoxi Sun, Hootan Nakhost, Hanjun Dai, Julian Eisenschlos, Sercan Ö. Arik, Tomas Pfister |
| 2023 | Unlearn What You Want to Forget: Efficient Unlearning for LLMs. Jiaao Chen, Diyi Yang |
| 2023 | Unnatural Error Correction: GPT-4 Can Almost Perfectly Handle Unnatural Scrambled Text. Qi Cao, Takeshi Kojima, Yutaka Matsuo, Yusuke Iwasawa |
| 2023 | Unraveling Feature Extraction Mechanisms in Neural Networks. Xiaobing Sun, Jiaxi Li, Wei Lu |
| 2023 | Unsupervised Grammatical Error Correction Rivaling Supervised Methods. Hannan Cao, Liping Yuan, Yuchen Zhang, Hwee Tou Ng |
| 2023 | Unsupervised Sounding Pixel Learning. Yining Zhang, Yanli Ji, Yang Yang |
| 2023 | Unveiling the Essence of Poetry: Introducing a Comprehensive Dataset and Benchmark for Poem Summarization. Ridwan Mahbub, Ifrad Khan, Samiha Anuva, Md Shahriar, Md. Tahmid Rahman Laskar, Sabbir Ahmed |
| 2023 | Unveiling the Implicit Toxicity in Large Language Models. Jiaxin Wen, Pei Ke, Hao Sun, Zhexin Zhang, Chengfei Li, Jinfeng Bai, Minlie Huang |
| 2023 | Using Artificial French Data to Understand the Emergence of Gender Bias in Transformer Language Models. Lina Conti, Guillaume Wisniewski |
| 2023 | Using Interpretation Methods for Model Enhancement. Zhuo Chen, Chengyue Jiang, Kewei Tu |
| 2023 | VECHR: A Dataset for Explainable and Robust Classification of Vulnerability Type in the European Court of Human Rights. Shanshan Xu, Leon Staufer, T. Y. S. S. Santosh, Oana Ichim, Corina Heri, Matthias Grabmair |
| 2023 | VIBE: Topic-Driven Temporal Adaptation for Twitter Classification. Yuji Zhang, Jing Li, Wenjie Li |
| 2023 | VLIS: Unimodal Language Models Guide Multimodal Language Generation. Jiwan Chung, Youngjae Yu |
| 2023 | Variance Matters: Detecting Semantic Differences without Corpus/Word Alignment. Ryo Nagata, Hiroya Takamura, Naoki Otani, Yoshifumi Kawasaki |
| 2023 | Vera: A General-Purpose Plausibility Estimation Model for Commonsense Statements. Jiacheng Liu, Wenya Wang, Dianzhuo Wang, Noah A. Smith, Yejin Choi, Hannaneh Hajishirzi |
| 2023 | ViPE: Visualise Pretty-much Everything. Hassan Shahmohammadi, Adhiraj Ghosh, Hendrik P. A. Lensch |
| 2023 | ViSoBERT: A Pre-Trained Language Model for Vietnamese Social Media Text Processing. Nam Nguyen, Thang Phan, Duc-Vu Nguyen, Kiet Van Nguyen |
| 2023 | ViStruct: Visual Structural Knowledge Extraction via Curriculum Guided Code-Vision Representation. Yangyi Chen, Xingyao Wang, Manling Li, Derek Hoiem, Heng Ji |
| 2023 | ViT-TTS: Visual Text-to-Speech with Scalable Diffusion Transformer. Huadai Liu, Rongjie Huang, Xuan Lin, Wenqiang Xu, Maozong Zheng, Hong Chen, Jinzheng He, Zhou Zhao |
| 2023 | Vicarious Offense and Noise Audit of Offensive Speech Classifiers: Unifying Human and Machine Disagreement on What is Offensive. Tharindu Cyril Weerasooriya, Sujan Dutta, Tharindu Ranasinghe, Marcos Zampieri, Christopher Homan, Ashiqur R. KhudaBukhsh |
| 2023 | Vicinal Risk Minimization for Few-Shot Cross-lingual Transfer in Abusive Language Detection. Gretel Liz De la Peña Sarracén, Paolo Rosso, Robert Litschko, Goran Glavas, Simone Paolo Ponzetto |
| 2023 | Video-Helpful Multimodal Machine Translation. Yihang Li, Shuichiro Shimizu, Chenhui Chu, Sadao Kurohashi, Wei Li |
| 2023 | Vision-Enhanced Semantic Entity Recognition in Document Images via Visually-Asymmetric Consistency Learning. Hao Wang, Xiahua Chen, Rui Wang, Chenhui Chu |
| 2023 | Visually-Situated Natural Language Understanding with Contrastive Reading Model and Frozen Large Language Models. Geewook Kim, Hodong Lee, Daehee Kim, Haeji Jung, Sanghee Park, Yoonsik Kim, Sangdoo Yun, Taeho Kil, Bado Lee, Seunghyun Park |
| 2023 | VivesDebate-Speech: A Corpus of Spoken Argumentation to Leverage Audio Features for Argument Mining. Ramon Ruiz-Dolz, Javier Sanchez |
| 2023 | WSDMS: Debunk Fake News via Weakly Supervised Detection of Misinforming Sentences with Contextualized Social Wisdom. Ruichao Yang, Wei Gao, Jing Ma, Hongzhan Lin, Zhiwei Yang |
| 2023 | We Are What We Repeatedly Do: Inducing and Deploying Habitual Schemas in Persona-Based Responses. Benjamin Kane, Lenhart K. Schubert |
| 2023 | We Need to Talk About Reproducibility in NLP Model Comparison. Yan Xue, Xuefei Cao, Xingli Yang, Yu Wang, Ruibo Wang, Jihong Li |
| 2023 | We are Who We Cite: Bridges of Influence Between Natural Language Processing and Other Academic Fields. Jan Philip Wahle, Terry Ruas, Mohamed Abdalla, Bela Gipp, Saif M. Mohammad |
| 2023 | We're Afraid Language Models Aren't Modeling Ambiguity. Alisa Liu, Zhaofeng Wu, Julian Michael, Alane Suhr, Peter West, Alexander Koller, Swabha Swayamdipta, Noah A. Smith, Yejin Choi |
| 2023 | Weakly Supervised Semantic Parsing with Execution-based Spurious Program Filtering. Kang-il Lee, Segwang Kim, Kyomin Jung |
| 2023 | Weakly-Supervised Learning of Visual Relations in Multimodal Pretraining. Emanuele Bugliarello, Aida Nematzadeh, Lisa Anne Hendricks |
| 2023 | Well Begun is Half Done: Generator-agnostic Knowledge Pre-Selection for Knowledge-Grounded Dialogue. Lang Qin, Yao Zhang, Hongru Liang, Jun Wang, Zhenglu Yang |
| 2023 | What Comes Next? Evaluating Uncertainty in Neural Text Generators Against Human Production Variability. Mario Giulianelli, Joris Baan, Wilker Aziz, Raquel Fernández, Barbara Plank |
| 2023 | What Else Do I Need to Know? The Effect of Background Information on Users' Reliance on QA Systems. Navita Goyal, Eleftheria Briakou, Amanda Liu, Connor Baumler, Claire Bonial, Jeffrey Micher, Clare R. Voss, Marine Carpuat, Hal Daumé III |
| 2023 | What do Deck Chairs and Sun Hats Have in Common? Uncovering Shared Properties in Large Concept Vocabularies. Amit Gajbhiye, Zied Bouraoui, Na Li, Usashi Chatterjee, Luis Espinosa Anke, Steven Schockaert |
| 2023 | What to Read in a Contract? Party-Specific Summarization of Legal Obligations, Entitlements, and Prohibitions. Abhilasha Sancheti, Aparna Garimella, Balaji Vasan Srinivasan, Rachel Rudinger |
| 2023 | What's "up" with vision-language models? Investigating their struggle with spatial reasoning. Amita Kamath, Jack Hessel, Kai-Wei Chang |
| 2023 | When Do Decompositions Help for Machine Reading? Kangda Wei, Dawn J. Lawrie, Benjamin Van Durme, Yunmo Chen, Orion Weller |
| 2023 | When Language Models Fall in Love: Animacy Processing in Transformer Language Models. Michael Hanna, Yonatan Belinkov, Sandro Pezzelle |
| 2023 | When Reviewers Lock Horns: Finding Disagreements in Scientific Peer Reviews. Sandeep Kumar, Tirthankar Ghosal, Asif Ekbal |
| 2023 | When are Lemons Purple? The Concept Association Bias of Vision-Language Models. Yingtian Tang, Yutaro Yamada, Yoyo Zhang, Ilker Yildirim |
| 2023 | When the Majority is Wrong: Modeling Annotator Disagreement for Subjective Tasks. Eve Fleisig, Rediet Abebe, Dan Klein |
| 2023 | Where to start? Analyzing the potential value of intermediate models. Leshem Choshen, Elad Venezian, Shachar Don-Yehiya, Noam Slonim, Yoav Katz |
| 2023 | Whispering LLaMA: A Cross-Modal Generative Error Correction Framework for Speech Recognition. Srijith Radhakrishnan, Chao-Han Huck Yang, Sumeer Ahmad Khan, Rohit Kumar, Narsis A. Kiani, David Gomez-Cabrero, Jesper Tegnér |
| 2023 | Why LLMs Hallucinate, and How to Get (Evidential) Closure: Perceptual, Intensional, and Extensional Learning for Faithful Natural Language Generation. Adam Bouyamourn |
| 2023 | Why Should This Article Be Deleted? Transparent Stance Detection in Multilingual Wikipedia Editor Discussions. Lucie-Aimée Kaffee, Arnav Arora, Isabelle Augenstein |
| 2023 | WiCE: Real-World Entailment for Claims in Wikipedia. Ryo Kamoi, Tanya Goyal, Juan Diego Rodriguez, Greg Durrett |
| 2023 | XLM-V: Overcoming the Vocabulary Bottleneck in Multilingual Masked Language Models. Davis Liang, Hila Gonen, Yuning Mao, Rui Hou, Naman Goyal, Marjan Ghazvininejad, Luke Zettlemoyer, Madian Khabsa |
| 2023 | You Told Me That Joke Twice: A Systematic Investigation of Transferability and Robustness of Humor Detection Models. Alexander Baranov, Vladimir Kniazhevsky, Pavel Braslavski |
| 2023 | ZEROTOP: Zero-Shot Task-Oriented Semantic Parsing using Large Language Models. Dheeraj Mekala, Jason Andrew Wolfe, Subhro Roy |
| 2023 | ZGUL: Zero-shot Generalization to Unseen Languages using Multi-source Ensembling of Language Adapters. Vipul Rathore, Rajdeep Dhingra, Parag Singla, Mausam |
| 2023 | Zero-Shot Multi-Label Topic Inference with Sentence Encoders and LLMs. Souvika Sarkar, Dongji Feng, Shubhra Kanti Karmaker Santu |
| 2023 | Zero-shot Faithfulness Evaluation for Text Summarization with Foundation Language Model. Qi Jia, Siyu Ren, Yizhu Liu, Kenny Q. Zhu |
| 2023 | Zero-shot Sharpness-Aware Quantization for Pre-trained Language Models. Miaoxi Zhu, Qihuang Zhong, Li Shen, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao |
| 2023 | clembench: Using Game Play to Evaluate Chat-Optimized Language Models as Conversational Agents. Kranti Chalamalasetti, Jana Götze, Sherzod Hakimov, Brielen Madureira, Philipp Sadler, David Schlangen |
| 2023 | e-THERAPIST: I suggest you to cultivate a mindset of positivity and nurture uplifting thoughts. Kshitij Mishra, Priyanshu Priya, Manisha Burja, Asif Ekbal |
| 2023 | kNN-LM Does Not Improve Open-ended Text Generation. Shufan Wang, Yixiao Song, Andrew Drozdov, Aparna Garimella, Varun Manjunatha, Mohit Iyyer |
| 2023 | mAggretriever: A Simple yet Effective Approach to Zero-Shot Multilingual Dense Retrieval. Sheng-Chieh Lin, Amin Ahmad, Jimmy Lin |
| 2023 | mRedditSum: A Multimodal Abstractive Summarization Dataset of Reddit Threads with Images. Keighley Overbay, Jaewoo Ahn, Fatemeh Pesaran Zadeh, Joonsuk Park, Gunhee Kim |
| 2023 | q2d: Turning Questions into Dialogs to Teach Models How to Search. Yonatan Bitton, Shlomi Cohen-Ganor, Ido Hakimi, Yoad Lewenberg, Roee Aharoni, Enav Weinreb |
| 2023 | trlX: A Framework for Large Scale Reinforcement Learning from Human Feedback. Alexander Havrilla, Maksym Zhuravinskyi, Duy Phung, Aman Tiwari, Jonathan Tow, Stella Biderman, Quentin Anthony, Louis Castricato |