Lu Wang - RankMe

191 papers A* 24A 1B 1Misc 1Journal 96Unranked 61

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Countdown-Code: A Testbed for Studying The Emergence and Generalization of Reward Hacking in RLVR. CoRR Muhammad Khalifa, Zohaib Khan, Omer Tafveez, Hao Peng, Lu Wang
2026	J	`jnl`	Gaming the Judge: Unfaithful Chain-of-Thought Can Undermine Agent Evaluation. CoRR Muhammad Khalifa, Lajanugen Logeswaran, Jaekyeom Kim, Sungryull Sohn, Yunxiang Zhang, Moontae Lee, Hao Peng, Lu Wang, Honglak Lee
2026	J	`jnl`	Process Reward Models That Think. Trans. Mach. Learn. Res. Muhammad Khalifa, Rishabh Agarwal, Lajanugen Logeswaran, Jaekyeom Kim, Hao Peng, Moontae Lee, Honglak Lee, Lu Wang
2026	J	`jnl`	Skill-Aware Data Selection and Fine-Tuning for Data-Efficient Reasoning Distillation. CoRR Lechen Zhang, Yunxiang Zhang, Wei Hu, Lu Wang
2025	A*	`conf`	Answer Convergence as a Signal for Early Stopping in Reasoning. EMNLP Xin Liu, Lu Wang
2025	J	`jnl`	Answer Convergence as a Signal for Early Stopping in Reasoning. CoRR Xin Liu, Lu Wang
2025	J	`jnl`	CLASH: Evaluating Language Models on Judging High-Stakes Dilemmas from Multiple Perspectives. CoRR Ayoung Lee, Ryan Sungmo Kwon, Peter Railton, Lu Wang
2025	J	`jnl`	Do LLMs Really Need 10+ Thoughts for "Find the Time 1000 Days Later"? Towards Structural Understanding of LLM Overthinking. CoRR Xinliang Frederick Zhang, Anhad Mohananey, Alexandra Chronopoulou, Pinelopi Papalampidi, Somit Gupta, Tsendsuren Munkhdalai, Lu Wang, Shyam Upadhyay
2025	J	`jnl`	Do Language Models Think Consistently? A Study of Value Preferences Across Varying Response Lengths. CoRR Inderjeet Nair, Lu Wang
2025	—	`conf`	Efficient Ensemble for Fine-tuning Language Models on Multiple Datasets. ACL (1) Dongyue Li, Ziniu Zhang, Lu Wang, Hongyang R. Zhang
2025	J	`jnl`	Efficient Ensemble for Fine-tuning Language Models on Multiple Datasets. CoRR Dongyue Li, Ziniu Zhang, Lu Wang, Hongyang R. Zhang
2025	J	`jnl`	Evaluating the Retrieval Robustness of Large Language Models. CoRR Shuyang Cao, Karthik Radhakrishnan, David S. Rosenberg, Steven Lu, Pengxiang Cheng, Lu Wang, Shiyue Zhang
2025	J	`jnl`	Evaluation Framework for AI Systems in "the Wild". CoRR Sarah Jabbour, Trenton Chang, Anindya Das Antar, Joseph Peper, Insu Jang, Jiachen Liu, Jae-Won Chung, Shiqi He, Michael P. Wellman, Bryan Goodman, Elizabeth Bondi-Kelly, Kevin Samy, Rada Mihalcea, Mosharaf Chowdhury, David Jurgens, Lu Wang
2025	J	`jnl`	ExpertLongBench: Benchmarking Language Models on Expert-Level Long-Form Generation Tasks with Structured Checklists. CoRR Jie Ruan, Inderjeet Nair, Shuyang Cao, Amy Liu, Sheza Munir, Micah Pollens-Dempsey, Tiffany Chiang, Lucy Kates, Nicholas David, Sihan Chen, Ruxin Yang, Yuqian Yang, Jasmine Gump, Tessa Bialek, Vivek Sankaran, Margo Schlanger, Lu Wang
2025	—	`conf`	FINDR: A Fast Influential Data Selector for NL2Code Pretraining. IJCNLP-AACL (long papers) Xinliang Frederick Zhang, Lu Wang
2025	—	`conf`	FactBench: A Dynamic Benchmark for In-the-Wild Language Model Factuality Evaluation. ACL (1) Farima Fatahi Bayat, Lechen Zhang, Sheza Munir, Lu Wang
2025	—	`ed.`	Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29 - May 4, 2025 NAACL (Findings) Luis Chiruzzo, Alan Ritter, Lu Wang
2025	A*	`conf`	Linear-Time Demonstration Selection for In-Context Learning via Gradient Estimation. EMNLP Ziniu Zhang, Zhenshuo Zhang, Dongyue Li, Lu Wang, Jennifer G. Dy, Hongyang R. Zhang
2025	J	`jnl`	Linear-Time Demonstration Selection for In-Context Learning via Gradient Estimation. CoRR Ziniu Zhang, Zhenshuo Zhang, Dongyue Li, Lu Wang, Jennifer G. Dy, Hongyang R. Zhang
2025	J	`jnl`	LiveOIBench: Can Large Language Models Outperform Human Contestants in Informatics Olympiads? CoRR Kaijian Zou, Aaron Xiong, Yunxiang Zhang, Frederick Zhang, Yueqi Ren, Jirong Yang, Ayoung Lee, Shitanshu Bhushan, Lu Wang
2025	J	`jnl`	Logit Arithmetic Elicits Long Reasoning Capabilities Without Training. CoRR Yunxiang Zhang, Muhammad Khalifa, Lechen Zhang, Xin Liu, Ayoung Lee, Xinliang Frederick Zhang, Farima Fatahi Bayat, Lu Wang
2025	J	`jnl`	Logit Arithmetic Elicits Long Reasoning Capabilities Without Training. CoRR Yunxiang Zhang, Muhammad Khalifa, Lechen Zhang, Xin Liu, Ayoung Lee, Xinliang Frederick Zhang, Farima Fatahi Bayat, Lu Wang
2025	—	`conf`	MDBench: A Synthetic Multi-Document Reasoning Benchmark Generated with Knowledge Guidance. ACL (Findings) Joseph J. Peper, Wenzhao Qiu, Ali Payani, Lu Wang
2025	J	`jnl`	MDBench: A Synthetic Multi-Document Reasoning Benchmark Generated with Knowledge Guidance. CoRR Joseph J. Peper, Wenzhao Qiu, Ali Payani, Lu Wang
2025	J	`jnl`	MLRC-Bench: Can Language Agents Solve Machine Learning Research Challenges? CoRR Yunxiang Zhang, Muhammad Khalifa, Shitanshu Bhushan, Grant D. Murphy, Lajanugen Logeswaran, Jaekyeom Kim, Moontae Lee, Honglak Lee, Lu Wang
2025	—	`conf`	On Many-Shot In-Context Learning for Long-Context Evaluation. ACL (1) Kaijian Zou, Muhammad Khalifa, Lu Wang
2025	A*	`conf`	PRIME: Large Language Model Personalization with Cognitive Dual-Memory and Personalized Thought Process. EMNLP Xinliang Frederick Zhang, Nicholas Beauchamp, Lu Wang
2025	J	`jnl`	PRIME: Large Language Model Personalization with Cognitive Memory and Thought Processes. CoRR Xinliang Frederick Zhang, Nick Beauchamp, Lu Wang
2025	—	`ed.`	Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2025 - Volume 1: Long Papers, Albuquerque, New Mexico, USA, April 29 - May 4, 2025 NAACL (Long Papers) Luis Chiruzzo, Alan Ritter, Lu Wang
2025	—	`ed.`	Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2025 - Volume 2: Short Papers, Albuquerque, New Mexico, April 29 - May 4, 2025 NAACL (Short Papers) Luis Chiruzzo, Alan Ritter, Lu Wang
2025	J	`jnl`	Process Reward Models That Think. CoRR Muhammad Khalifa, Rishabh Agarwal, Lajanugen Logeswaran, Jaekyeom Kim, Hao Peng, Moontae Lee, Honglak Lee, Lu Wang
2025	A*	`conf`	SYNC: A Synthetic Long-Context Understanding Benchmark for Controlled Comparisons of Model Capabilities. EMNLP Shuyang Cao, Kaijian Zou, Lu Wang
2025	A*	`conf`	Structured Moral Reasoning in Language Models: A Value-Grounded Evaluation Framework. EMNLP Mohna Chakraborty, Lu Wang, David Jurgens
2025	J	`jnl`	Structured Moral Reasoning in Language Models: A Value-Grounded Evaluation Framework. CoRR Mohna Chakraborty, Lu Wang, David Jurgens
2025	A*	`conf`	Unstructured Evidence Attribution for Long Context Query Focused Summarization. EMNLP Dustin Wright, Zain Muhammad Mujahid, Lu Wang, Isabelle Augenstein, David Jurgens
2025	J	`jnl`	Unstructured Evidence Attribution for Long Context Query Focused Summarization. CoRR Dustin Wright, Zain Muhammad Mujahid, Lu Wang, Isabelle Augenstein, David Jurgens
2025	A*	`conf`	VeriFact: Enhancing Long-Form Factuality Evaluation with Refined Fact Extraction and Reference Facts. EMNLP Xin Liu, Lechen Zhang, Sheza Munir, Yiyang Gu, Lu Wang
2025	J	`jnl`	VeriFact: Enhancing Long-Form Factuality Evaluation with Refined Fact Extraction and Reference Facts. CoRR Xin Liu, Lechen Zhang, Sheza Munir, Yiyang Gu, Lu Wang
2024	—	`conf`	AWESOME: GPU Memory-constrained Long Document Summarization using Memory Mechanism and Global Salient Content. NAACL-HLT Shuyang Cao, Lu Wang
2024	—	`conf`	Analyzing Occupational Distribution Representation in Japanese Language Models. LREC/COLING Katsumi Ibaraki, Winston Wu, Lu Wang, Rada Mihalcea
2024	A*	`conf`	Closing the Loop: Learning to Generate Writing Feedback via Language Model Simulated Student Revisions. EMNLP Inderjeet Nair, Jiaye Tan, Xiaotian Su, Anne Gere, Xu Wang, Lu Wang
2024	J	`jnl`	Closing the Loop: Learning to Generate Writing Feedback via Language Model Simulated Student Revisions. CoRR Inderjeet Nair, Jiaye Tan, Xiaotian Su, Anne Gere, Xu Wang, Lu Wang
2024	—	`conf`	Enhanced Language Model Truthfulness with Learnable Intervention and Uncertainty Expression. ACL (Findings) Farima Fatahi Bayat, Xin Liu, H. V. Jagadish, Lu Wang
2024	A*	`conf`	Enhancing Language Model Factuality via Activation-Based Confidence Calibration and Guided Decoding. EMNLP Xin Liu, Farima Fatahi Bayat, Lu Wang
2024	J	`jnl`	Enhancing Language Model Factuality via Activation-Based Confidence Calibration and Guided Decoding. CoRR Xin Liu, Farima Fatahi Bayat, Lu Wang
2024	J	`jnl`	FactBench: A Dynamic Benchmark for In-the-Wild Language Model Factuality Evaluation. CoRR Farima Fatahi Bayat, Lechen Zhang, Sheza Munir, Lu Wang
2024	J	`jnl`	If You Can't Use Them, Recycle Them: Optimizing Merging at Scale Mitigates Performance Tradeoffs. CoRR Muhammad Khalifa, Yi Chern Tan, Arash Ahmadian, Tom Hosking, Honglak Lee, Lu Wang, Ahmet Üstün, Tom Sherborne, Matthias Gallé
2024	J	`jnl`	LITO: Learnable Intervention for Truthfulness Optimization. CoRR Farima Fatahi Bayat, Xin Liu, H. V. Jagadish, Lu Wang
2024	A*	`conf`	LitCab: Lightweight Language Model Calibration over Short- and Long-form Responses. ICLR Xin Liu, Muhammad Khalifa, Lu Wang
2024	—	`conf`	MIDGARD: Self-Consistency Using Minimum Description Length for Structured Commonsense Reasoning. ACL (1) Inderjeet Nair, Lu Wang
2024	J	`jnl`	MIDGARD: Self-Consistency Using Minimum Description Length for Structured Commonsense Reasoning. CoRR Inderjeet Nair, Lu Wang
2024	—	`conf`	MOKA: Moral Knowledge Augmentation for Moral Event Extraction. NAACL-HLT Xinliang Frederick Zhang, Winston Wu, Nicholas Beauchamp, Lu Wang
2024	—	`conf`	Narrative-of-Thought: Improving Temporal Reasoning of Large Language Models via Recounted Narratives. EMNLP (Findings) Xinliang Frederick Zhang, Nicholas Beauchamp, Lu Wang
2024	J	`jnl`	Narrative-of-Thought: Improving Temporal Reasoning of Large Language Models via Recounted Narratives. CoRR Xinliang Frederick Zhang, Nick Beauchamp, Lu Wang
2024	—	`conf`	PELMS: Pre-training for Effective Low-Shot Multi-Document Summarization. NAACL-HLT Joseph Peper, Wenzhao Qiu, Lu Wang
2024	J	`jnl`	Retrieval or Global Context Understanding? On Many-Shot In-Context Learning for Long-Context Evaluation. CoRR Kaijian Zou, Muhammad Khalifa, Lu Wang
2024	—	`conf`	Scalable Fine-tuning from Multiple Data Sources: A First-Order Approximation Approach. EMNLP (Findings) Dongyue Li, Ziniu Zhang, Lu Wang, Hongyang Zhang
2024	J	`jnl`	Scalable Fine-tuning from Multiple Data Sources:A First-Order Approximation Approach. CoRR Dongyue Li, Ziniu Zhang, Lu Wang, Hongyang R. Zhang
2024	—	`conf`	Scientific Opinion Summarization: Paper Meta-review Generation Dataset, Methods, and Evaluation. AI4Research/DemocrAI@IJCAI Qi Zeng, Mankeerat Sidhu, Ansel Blume, Hou Pong Chan, Lu Wang, Heng Ji
2024	—	`conf`	Shoes-ACOSI: A Dataset for Aspect-Based Sentiment Analysis with Implicit Opinion Extraction. EMNLP (Findings) Joseph Peper, Wenzhao Qiu, Ryan Bruggeman, Yi Han, Estefania Ciliotta Chehade, Lu Wang
2024	—	`conf`	Small Language Models Need Strong Verifiers to Self-Correct Reasoning. ACL (Findings) Yunxiang Zhang, Muhammad Khalifa, Lajanugen Logeswaran, Jaekyeom Kim, Moontae Lee, Honglak Lee, Lu Wang
2024	J	`jnl`	Small Language Models Need Strong Verifiers to Self-Correct Reasoning. CoRR Yunxiang Zhang, Muhammad Khalifa, Lajanugen Logeswaran, Jaekyeom Kim, Moontae Lee, Honglak Lee, Lu Wang
2024	J	`jnl`	Source-Aware Training Enables Knowledge Attribution in Language Models. CoRR Muhammad Khalifa, David Wadden, Emma Strubell, Honglak Lee, Lu Wang, Iz Beltagy, Hao Peng
2024	—	`conf`	Verifiable Generation with Subsentence-Level Fine-Grained Citations. ACL (Findings) Shuyang Cao, Lu Wang
2024	J	`jnl`	Verifiable Generation with Subsentence-Level Fine-Grained Citations. CoRR Shuyang Cao, Lu Wang
2023	J	`jnl`	AWESOME: GPU Memory-constrained Long Document Summarization using Memory Mechanism and Global Salient Content. CoRR Shuyang Cao, Lu Wang
2023	A*	`conf`	All Things Considered: Detecting Partisan Events from News Media with Cross-Article Comparison. EMNLP Yujian Liu, Xinliang Frederick Zhang, Kaijian Zou, Ruihong Huang, Nicholas Beauchamp, Lu Wang
2023	J	`jnl`	All Things Considered: Detecting Partisan Events from News Media with Cross-Article Comparison. CoRR Yujian Liu, Xinliang Frederick Zhang, Kaijian Zou, Ruihong Huang, Nick Beauchamp, Lu Wang
2023	—	`conf`	BOLT: Fast Energy-based Controlled Text Generation with Tunable Biases. ACL (2) Xin Liu, Muhammad Khalifa, Lu Wang
2023	J	`jnl`	BOLT: Fast Energy-based Controlled Text Generation with Tunable Biases. CoRR Xin Liu, Muhammad Khalifa, Lu Wang
2023	A*	`conf`	Cross-Cultural Analysis of Human Values, Morals, and Biases in Folk Tales. EMNLP Winston Wu, Lu Wang, Rada Mihalcea
2023	—	`conf`	Crossing the Aisle: Unveiling Partisan and Counter-Partisan Events in News Reporting. EMNLP (Findings) Kaijian Zou, Xinliang Frederick Zhang, Winston Wu, Nicholas Beauchamp, Lu Wang
2023	J	`jnl`	Crossing the Aisle: Unveiling Partisan and Counter-Partisan Events in News Reporting. CoRR Kaijian Zou, Xinliang Frederick Zhang, Winston Wu, Nick Beauchamp, Lu Wang
2023	J	`jnl`	Discriminator-Guided Multi-step Reasoning with Language Models. CoRR Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang
2023	J	`jnl`	Exploring Demonstration Ensembling for In-context Learning. CoRR Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang
2023	—	`conf`	Few-shot Reranking for Multi-hop QA via Language Model Prompting. ACL (1) Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang
2023	—	`conf`	GRACE: Discriminator-Guided Chain-of-Thought Reasoning. EMNLP (Findings) Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang
2023	J	`jnl`	General then Personal: Decoupling and Pre-training for Personalized Headline Generation. Trans. Assoc. Comput. Linguistics Yun-Zhu Song, Yi-Syuan Chen, Lu Wang, Hong-Han Shuai
2023	J	`jnl`	LitCab: Lightweight Calibration of Language Models on Outputs of Varied Lengths. CoRR Xin Liu, Muhammad Khalifa, Lu Wang
2023	J	`jnl`	MOKA: Moral Knowledge Augmentation for Moral Event Extraction. CoRR Xinliang Frederick Zhang, Winston Wu, Nick Beauchamp, Lu Wang
2023	A*	`conf`	Merging Generated and Retrieved Knowledge for Open-Domain QA. EMNLP Yunxiang Zhang, Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang
2023	J	`jnl`	Merging Generated and Retrieved Knowledge for Open-Domain QA. CoRR Yunxiang Zhang, Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang
2023	J	`jnl`	Meta-review Generation with Checklist-guided Iterative Introspection. CoRR Qi Zeng, Mankeerat Sidhu, Hou Pong Chan, Lu Wang, Heng Ji
2023	J	`jnl`	PELMS: Pre-training for Effective Low-Shot Multi-Document Summarization. CoRR Joseph J. Peper, Wenzhao Qiu, Lu Wang
2023	A*	`conf`	ReadingQuizMaker: A Human-NLP Collaborative System that Supports Instructors to Design High-Quality Reading Quiz Questions. CHI Xinyi Lu, Simin Fan, Jessica Houghton, Lu Wang, Xu Wang
2023	—	`conf`	You Are What You Annotate: Towards Better Models through Annotator Representations. EMNLP (Findings) Naihao Deng, Xinliang Frederick Zhang, Siyang Liu, Winston Wu, Lu Wang, Rada Mihalcea
2023	J	`jnl`	You Are What You Annotate: Towards Better Models through Annotator Representations. CoRR Naihao Deng, Siyang Liu, Xinliang Frederick Zhang, Winston Wu, Lu Wang, Rada Mihalcea
2022	—	`conf`	Efficient Argument Structure Extraction with Transfer Learning and Active Learning. ACL (Findings) Xinyu Hua, Lu Wang
2022	J	`jnl`	Efficient Argument Structure Extraction with Transfer Learning and Active Learning. CoRR Xinyu Hua, Lu Wang
2022	—	`conf`	Generative Aspect-Based Sentiment Analysis with Contrastive Learning and Expressive Structure. EMNLP (Findings) Joseph Peper, Lu Wang
2022	J	`jnl`	Generative Aspect-Based Sentiment Analysis with Contrastive Learning and Expressive Structure. CoRR Joseph J. Peper, Lu Wang
2022	A*	`conf`	Generative Entity-to-Entity Stance Detection with Knowledge Graph Augmentation. EMNLP Xinliang Frederick Zhang, Nick Beauchamp, Lu Wang
2022	J	`jnl`	Generative Entity-to-Entity Stance Detection with Knowledge Graph Augmentation. CoRR Xinliang Frederick Zhang, Nick Beauchamp, Lu Wang
2022	—	`conf`	HIBRIDS: Attention with Hierarchical Biases for Structure-aware Long Document Summarization. ACL (1) Shuyang Cao, Lu Wang
2022	J	`jnl`	HIBRIDS: Attention with Hierarchical Biases for Structure-aware Long Document Summarization. CoRR Shuyang Cao, Lu Wang
2022	J	`jnl`	LEPUS: Prompt-based Unsupervised Multi-hop Reranking for Open-domain QA. CoRR Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang
2022	A*	`conf`	Late Fusion with Triplet Margin Objective for Multimodal Ideology Prediction and Analysis. EMNLP Changyuan Qiu, Winston Wu, Xinliang Frederick Zhang, Lu Wang
2022	J	`jnl`	Late Fusion with Triplet Margin Objective for Multimodal Ideology Prediction and Analysis. CoRR Changyuan Qiu, Winston Wu, Xinliang Frederick Zhang, Lu Wang
2022	—	`conf`	POLITICS: Pretraining with Same-story Article Comparison for Ideology Prediction and Stance Detection. NAACL-HLT (Findings) Yujian Liu, Xinliang Frederick Zhang, David Wegsman, Nicholas Beauchamp, Lu Wang
2022	J	`jnl`	POLITICS: Pretraining with Same-story Article Comparison for Ideology Prediction and Stance Detection. CoRR Yujian Liu, Xinliang Frederick Zhang, David Wegsman, Nick Beauchamp, Lu Wang
2022	A*	`conf`	Sentence-level Media Bias Analysis Informed by Discourse Structures. EMNLP Yuanyuan Lei, Ruihong Huang, Lu Wang, Nick Beauchamp
2022	—	`conf`	Time-aware Prompting for Text Generation. EMNLP (Findings) Shuyang Cao, Lu Wang
2022	J	`jnl`	Time-aware Prompting for Text Generation. CoRR Shuyang Cao, Lu Wang
2022	—	`conf`	Towards Process-Oriented, Modular, and Versatile Question Generation that Meets Educational Needs. NAACL-HLT Xu Wang, Simin Fan, Jessica Houghton, Lu Wang
2022	J	`jnl`	Towards Process-Oriented, Modular, and Versatile Question Generation that Meets Educational Needs. CoRR Xu Wang, Simin Fan, Jessica Houghton, Lu Wang
2021	—	`conf`	Attention Head Masking for Inference Time Content Selection in Abstractive Summarization. NAACL-HLT Shuyang Cao, Lu Wang
2021	J	`jnl`	Attention Head Masking for Inference Time Content Selection in Abstractive Summarization. CoRR Shuyang Cao, Lu Wang
2021	—	`conf`	CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization. EMNLP (1) Shuyang Cao, Lu Wang
2021	J	`jnl`	CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization. CoRR Shuyang Cao, Lu Wang
2021	—	`conf`	Controllable Open-ended Question Generation with A New Question Type Ontology. ACL/IJCNLP (1) Shuyang Cao, Lu Wang
2021	J	`jnl`	Controllable Open-ended Question Generation with A New Question Type Ontology. CoRR Shuyang Cao, Lu Wang
2021	J	`jnl`	Controllable Summarization with Constrained Markov Decision Process. CoRR Hou Pong Chan, Lu Wang, Irwin King
2021	J	`jnl`	Controllable Summarization with Constrained Markov Decision Process. Trans. Assoc. Comput. Linguistics Hou Pong Chan, Lu Wang, Irwin King
2021	—	`conf`	DYPLOC: Dynamic Planning of Content Using Mixed Language Models for Text Generation. ACL/IJCNLP (1) Xinyu Hua, Ashwin Sreevatsa, Lu Wang
2021	J	`jnl`	DYPLOC: Dynamic Planning of Content Using Mixed Language Models for Text Generation. CoRR Xinyu Hua, Ashwin Sreevatsa, Lu Wang
2021	—	`conf`	Efficient Attentions for Long Document Summarization. NAACL-HLT Luyang Huang, Shuyang Cao, Nikolaus Nova Parulian, Heng Ji, Lu Wang
2021	J	`jnl`	Efficient Attentions for Long Document Summarization. CoRR Luyang Huang, Shuyang Cao, Nikolaus Nova Parulian, Heng Ji, Lu Wang
2021	—	`conf`	Inference Time Style Control for Summarization. NAACL-HLT Shuyang Cao, Lu Wang
2021	J	`jnl`	Inference Time Style Control for Summarization. CoRR Shuyang Cao, Lu Wang
2021	A*	`conf`	Learning To Segment Actions From Visual and Language Instructions via Differentiable Weak Sequence Alignment. CVPR Yuhan Shen, Lu Wang, Ehsan Elhamifar
2021	—	`ed.`	Natural Language Processing and Chinese Computing - 10th CCF International Conference, NLPCC 2021, Qingdao, China, October 13-17, 2021, Proceedings, Part I NLPCC (1) Lu Wang, Yansong Feng, Yu Hong, Ruifang He
2021	—	`ed.`	Natural Language Processing and Chinese Computing - 10th CCF International Conference, NLPCC 2021, Qingdao, China, October 13-17, 2021, Proceedings, Part II NLPCC (2) Lu Wang, Yansong Feng, Yu Hong, Ruifang He
2021	J	`jnl`	Understanding the Spread of COVID-19 Epidemic: A Spatio-Temporal Point Process View. CoRR Shuang Li, Lu Wang, Xinyun Chen, Yixiang Fang, Yan Song
2020	A*	`conf`	Copy or Rewrite: Hybrid Summarization with Hierarchical Reinforcement Learning. AAAI Liqiang Xiao, Lu Wang, Hao He, Yaohui Jin
2020	—	`conf`	DebateVis: Visualizing Political Debates for Non-Expert Users. IEEE VIS (Short Papers) Laura South, Michail Schwab, Nick Beauchamp, Lu Wang, John Wihbey, Michelle A. Borkin
2020	A*	`conf`	Discourse as a Function of Event: Profiling Discourse Structure in News Articles around the Main Event. ACL Prafulla Kumar Choubey, Aaron Lee, Ruihong Huang, Lu Wang
2020	A*	`conf`	Dynamic Online Conversation Recommendation. ACL Xingshan Zeng, Jing Li, Lu Wang, Zhiming Mao, Kam-Fai Wong
2020	A*	`conf`	Knowledge Graph-Augmented Abstractive Summarization with Semantic-Driven Cloze Reward. ACL Luyang Huang, Lingfei Wu, Lu Wang
2020	J	`jnl`	Knowledge Graph-Augmented Abstractive Summarization with Semantic-Driven Cloze Reward. CoRR Luyang Huang, Lingfei Wu, Lu Wang
2020	—	`conf`	Modeling Content Importance for Summarization with Pre-trained Language Models. EMNLP (1) Liqiang Xiao, Lu Wang, Hao He, Yaohui Jin
2020	—	`conf`	PAIR: Planning and Iterative Refinement in Pre-trained Transformers for Long Text Generation. EMNLP (1) Xinyu Hua, Lu Wang
2020	J	`jnl`	PAIR: Planning and Iterative Refinement in Pre-trained Transformers for Long Text Generation. CoRR Xinyu Hua, Lu Wang
2020	A*	`conf`	Temporal Logic Point Processes. ICML Shuang Li, Lu Wang, Ruizhi Zhang, Xiaofu Chang, Xuqin Liu, Yao Xie, Yuan Qi, Le Song
2020	—	`conf`	XREF: Entity Linking for Chinese News Comments with Supplementary Article Reference. AKBC Xinyu Hua, Lei Li, Lifeng Hua, Lu Wang
2020	J	`jnl`	XREF: Entity Linking for Chinese News Comments with Supplementary Article Reference. CoRR Xinyu Hua, Lei Li, Lifeng Hua, Lu Wang
2019	—	`conf`	An Entity-Driven Framework for Abstractive Summarization. EMNLP/IJCNLP (1) Eva Sharma, Luyang Huang, Zhe Hu, Lu Wang
2019	J	`jnl`	An Entity-Driven Framework for Abstractive Summarization. CoRR Eva Sharma, Luyang Huang, Zhe Hu, Lu Wang
2019	—	`conf`	Argument Generation with Retrieval, Planning, and Realization. ACL (1) Xinyu Hua, Zhe Hu, Lu Wang
2019	J	`jnl`	Argument Generation with Retrieval, Planning, and Realization. CoRR Xinyu Hua, Zhe Hu, Lu Wang
2019	—	`conf`	Argument Mining for Understanding Peer Reviews. NAACL-HLT (1) Xinyu Hua, Mitko Nikolov, Nikhil Badugu, Lu Wang
2019	J	`jnl`	Argument Mining for Understanding Peer Reviews. CoRR Xinyu Hua, Mitko Nikolov, Nikhil Badugu, Lu Wang
2019	—	`conf`	BIGPATENT: A Large-Scale Dataset for Abstractive and Coherent Summarization. ACL (1) Eva Sharma, Chen Li, Lu Wang
2019	J	`jnl`	BIGPATENT: A Large-Scale Dataset for Abstractive and Coherent Summarization. CoRR Eva Sharma, Chen Li, Lu Wang
2019	—	`conf`	In Plain Sight: Media Bias Through the Lens of Factual Reporting. EMNLP/IJCNLP (1) Lisa Fan, Marshall White, Eva Sharma, Ruisi Su, Prafulla Kumar Choubey, Ruihong Huang, Lu Wang
2019	J	`jnl`	In Plain Sight: Media Bias Through the Lens of Factual Reporting. CoRR Lisa Fan, Marshall White, Eva Sharma, Ruisi Su, Prafulla Kumar Choubey, Ruihong Huang, Lu Wang
2019	—	`conf`	Joint Effects of Context and User History for Predicting Online Conversation Re-entries. ACL (1) Xingshan Zeng, Jing Li, Lu Wang, Kam-Fai Wong
2019	J	`jnl`	Joint Effects of Context and User History for Predicting Online Conversation Re-entries. CoRR Xingshan Zeng, Jing Li, Lu Wang, Kam-Fai Wong
2019	—	`conf`	Jointly Learning Semantic Parser and Natural Language Generator via Dual Information Maximization. ACL (1) Hai Ye, Wenjie Li, Lu Wang
2019	J	`jnl`	Jointly Learning Semantic Parser and Natural Language Generator via Dual Information Maximization. CoRR Hai Ye, Wenjie Li, Lu Wang
2019	—	`conf`	Neural Conversation Recommendation with Online Interaction Modeling. EMNLP/IJCNLP (1) Xingshan Zeng, Jing Li, Lu Wang, Kam-Fai Wong
2019	—	`conf`	Neural Keyphrase Generation via Reinforcement Learning with Adaptive Rewards. ACL (1) Hou Pong Chan, Wang Chen, Lu Wang, Irwin King
2019	J	`jnl`	Neural Keyphrase Generation via Reinforcement Learning with Adaptive Rewards. CoRR Hou Pong Chan, Wang Chen, Lu Wang, Irwin King
2019	—	`conf`	Sentence-Level Content Planning and Style Specification for Neural Text Generation. EMNLP/IJCNLP (1) Xinyu Hua, Lu Wang
2019	J	`jnl`	Sentence-Level Content Planning and Style Specification for Neural Text Generation. CoRR Xinyu Hua, Lu Wang
2018	—	`conf`	Microblog Conversation Recommendation via Joint Modeling of Topics and Discourse. NAACL-HLT Xingshan Zeng, Jing Li, Lu Wang, Nicholas Beauchamp, Sarah Shugars, Kam-Fai Wong
2018	—	`conf`	Neural Argument Generation Augmented with Externally Retrieved Evidence. ACL (1) Xinyu Hua, Lu Wang
2018	J	`jnl`	Neural Argument Generation Augmented with Externally Retrieved Evidence. CoRR Xinyu Hua, Lu Wang
2018	J	`jnl`	Robust Neural Abstractive Summarization Systems and Evaluation against Adversarial Information. CoRR Lisa Fan, Dong Yu, Lu Wang
2018	A*	`conf`	Semi-Supervised Learning for Neural Keyphrase Generation. EMNLP Hai Ye, Lu Wang
2018	J	`jnl`	Semi-Supervised Learning for Neural Keyphrase Generation. CoRR Hai Ye, Lu Wang
2017	—	`conf`	A Pilot Study of Domain Adaptation Effect for Neural Abstractive Summarization. NFiS@EMNLP Xinyu Hua, Lu Wang
2017	J	`jnl`	A Pilot Study of Domain Adaptation Effect for Neural Abstractive Summarization. CoRR Xinyu Hua, Lu Wang
2017	—	`conf`	Joint Modeling of Content and Discourse Relations in Dialogues. ACL (1) Kechen Qin, Lu Wang, Joseph Kim
2017	J	`jnl`	Joint Modeling of Content and Discourse Relations in Dialogues. CoRR Kechen Qin, Lu Wang, Joseph Kim
2017	—	`ed.`	Proceedings of the Workshop on New Frontiers in Summarization, NFiS@EMNLP 2017, Copenhagen, Denmark, September 7, 2017 NFiS@EMNLP Lu Wang, Jackie Chi Kit Cheung, Giuseppe Carenini, Fei Liu
2017	—	`conf`	Understanding and Detecting Diverse Supporting Arguments on Controversial Issues. ACL (2) Xinyu Hua, Lu Wang
2017	J	`jnl`	Understanding and Detecting Supporting Arguments of Diverse Types. CoRR Xinyu Hua, Lu Wang
2017	A	`conf`	Weakly-Guided User Stance Prediction via Joint Modeling of Content and Social Interaction. CIKM Rui Dong, Yizhou Sun, Lu Wang, Yupeng Gu, Yuan Zhong
2017	J	`jnl`	Winning on the Merits: The Joint Effects of Content and Style on Debate Outcomes. CoRR Lu Wang, Nick Beauchamp, Sarah Shugars, Kechen Qin
2017	J	`jnl`	Winning on the Merits: The Joint Effects of Content and Style on Debate Outcomes. Trans. Assoc. Comput. Linguistics Lu Wang, Nick Beauchamp, Sarah Shugars, Kechen Qin
2016	J	`jnl`	A Piece of My Mind: A Sentiment Analysis Approach for Online Dispute Detection. CoRR Lu Wang, Claire Cardie
2016	J	`jnl`	A Sentence Compression Based Framework to Query-Focused Multi-Document Summarization. CoRR Lu Wang, Hema Raghavan, Vittorio Castelli, Radu Florian, Claire Cardie
2016	J	`jnl`	Focused Meeting Summarization via Unsupervised Relation Extraction. CoRR Lu Wang, Claire Cardie
2016	J	`jnl`	Improving Agreement and Disagreement Identification in Online Discussions with A Socially-Tuned Sentiment Lexicon. CoRR Lu Wang, Claire Cardie
2016	J	`jnl`	Leveraging Semantic Web Search and Browse Sessions for Multi-Turn Spoken Dialog Systems. CoRR Lu Wang, Larry P. Heck, Dilek Hakkani-Tür
2016	—	`conf`	Neural Network-Based Abstract Generation for Opinions and Arguments. HLT-NAACL Lu Wang, Wang Ling
2016	J	`jnl`	Neural Network-Based Abstract Generation for Opinions and Arguments. CoRR Lu Wang, Wang Ling
2016	J	`jnl`	Query-Focused Opinion Summarization for User-Generated Content. CoRR Lu Wang, Hema Raghavan, Claire Cardie, Vittorio Castelli
2016	J	`jnl`	Socially-Informed Timeline Generation for Complex Events. CoRR Lu Wang, Claire Cardie, Galen Marchetti
2016	—	`—`	Summarization and Sentiment Analysis for Understanding Socially-Generated Content. Lu Wang
2016	J	`jnl`	Summarizing Decisions in Spoken Meetings. CoRR Lu Wang, Claire Cardie
2016	J	`jnl`	Unsupervised Topic Modeling Approaches to Decision Summarization in Spoken Meetings. CoRR Lu Wang, Claire Cardie
2015	—	`conf`	Socially-Informed Timeline Generation for Complex Events. HLT-NAACL Lu Wang, Claire Cardie, Galen Marchetti
2014	—	`conf`	A Piece of My Mind: A Sentiment Analysis Approach for Online Dispute Detection. ACL (2) Lu Wang, Claire Cardie
2014	—	`conf`	Improving Agreement and Disagreement Identification in Online Discussions with A Socially-Tuned Sentiment Lexicon. WASSA@ACL Lu Wang, Claire Cardie
2014	Misc	`conf`	Leveraging semantic web search and browse sessions for multi-turn spoken dialog systems. ICASSP Lu Wang, Larry P. Heck, Dilek Hakkani-Tür
2014	B	`conf`	Query-Focused Opinion Summarization for User-Generated Content. COLING Lu Wang, Hema Raghavan, Claire Cardie, Vittorio Castelli
2013	—	`conf`	A Sentence Compression Based Framework to Query-Focused Multi-Document Summarization. ACL (1) Lu Wang, Hema Raghavan, Vittorio Castelli, Radu Florian, Claire Cardie
2013	—	`conf`	Domain-Independent Abstract Generation for Focused Meeting Summarization. ACL (1) Lu Wang, Claire Cardie
2012	—	`conf`	Focused Meeting Summarization via Unsupervised Relation Extraction. SIGDIAL Conference Lu Wang, Claire Cardie
2012	—	`conf`	Unsupervised Topic Modeling Approaches to Decision Summarization in Spoken Meetings. SIGDIAL Conference Lu Wang, Claire Cardie