Swabha Swayamdipta

108 papers A* 11A 1B 2Misc 1Journal 60Unranked 30
YearRankTypeTitle / Venue / Authors
2026 A* conf
Are We Automating the Joy Out of Work? Designing AI to Augment Work, Not Meaning.
CHI
Jaspreet Ranjit, Ke Zhou, Swabha Swayamdipta, Daniele Quercia
2026 J jnl
Are We Automating the Joy Out of Work? Designing AI to Augment Work, Not Meaning.
CoRR
Jaspreet Ranjit, Ke Zhou, Swabha Swayamdipta, Daniele Quercia
2026 J jnl
BenchBrowser - Collecting Evidence for Evaluating Benchmark Validity.
CoRR
Harshita Diddee, Gregory Yauney, Swabha Swayamdipta, Daphne Ippolito
2026 J jnl
Beyond Explainable AI (XAI): An Overdue Paradigm Shift and Post-XAI Research Directions.
CoRR
Saleh Afroogh, Seyd Ishtiaque Ahmed, Petra Ahrweiler, David Alvarez-Melis, Mansur Maturidi Arief, Emilia Barakova, Falco J. Bargagli-Stoffi, Erdem Biyik, Hanjie Chen, Xiang 'Anthony' Chen, Robert Clements, Keeley Crockett, Amit Dhurandhar, Fethiye Irmak Dogan, Mollie Dollinger, Motahhare Eslami, Aldo A. Faisal, Arya Farahi, Melanie Fernandez Pradie, Saadia Gabrie, Diego Garcia-Olano, Marzyeh Ghassemi, Shaona Ghosh, Hatice Gunes, Ehsan Hajiramezanali, Stefan Haufe, Biwei Huang, Angel Hwang, Md Tauhidul Islam, Junfeng Jiao, Amir-Hossein Karimi, Saber Kazeminasab, Anastasia Kuzminykh, William G. La Cava, Brian Y. Lim, Xiaofeng Liu, Mohammad R. K. Mofrad, Alicia Parrish, María Pérez-Ortiz, Shriti Raj, Swabha Swayamdipta, Salmon Talebi, Kush R. Varshney, Mihaela Vorvoreanu, Lily Weng, Alice Xiang, Yiming Xu, Ding Zhao, Jieyu Zhao
2026 J jnl
Disentangling Geometry, Performance, and Training in Language Models.
CoRR
Atharva Kulkarni, Jacob Mitchell Springer, Arjun Subramonian, Swabha Swayamdipta
2025 J jnl
Believing without Seeing: Quality Scores for Contextualizing Vision-Language Model Explanations.
CoRR
Keyu He, Tejas Srinivasan, Brihi Joshi, Xiang Ren, Jesse Thomason, Swabha Swayamdipta
2025 J jnl
Better Language Model Inversion by Compactly Representing Next-Token Distributions.
CoRR
Murtaza Nazir, Matthew Finlayson, John X. Morris, Xiang Ren, Swabha Swayamdipta
2025 J jnl
ChEmREF: Evaluating Language Model Readiness for Chemical Emergency Response.
CoRR
Risha Surana, Qinyuan Ye, Swabha Swayamdipta
2025 — conf
ELI-Why: Evaluating the Pedagogical Utility of Language Model Explanations.
ACL (Findings)
Brihi Joshi, Keyu He, Sahana Ramnath, Sadra Sabouri, Kaitlyn Zhou, Souti Chattopadhyay, Swabha Swayamdipta, Xiang Ren
2025 J jnl
ELI-Why: Evaluating the Pedagogical Utility of Language Model Explanations.
CoRR
Brihi Joshi, Keyu He, Sahana Ramnath, Sadra Sabouri, Kaitlyn Zhou, Souti Chattopadhyay, Swabha Swayamdipta, Xiang Ren
2025 — conf
Evaluating Evaluation Metrics - The Mirage of Hallucination Detection.
EMNLP (Findings)
Atharva Kulkarni, Yuan Zhang, Joel Ruben Antony Moniz, Xiou Ge, Bo-Hsiang Tseng, Dhivya Piraviperumal, Swabha Swayamdipta, Hong Yu
2025 J jnl
Evaluating Evaluation Metrics - The Mirage of Hallucination Detection.
CoRR
Atharva Kulkarni, Yuan Zhang, Joel Ruben Antony Moniz, Xiou Ge, Bo-Hsiang Tseng, Dhivya Piraviperumal, Swabha Swayamdipta, Hong Yu
2025 J jnl
Evaluation Under Imperfect Benchmarks and Ratings: A Case Study in Text Simplification.
CoRR
Joseph Liu, Yoonsoo Nam, Xinyue Cui, Swabha Swayamdipta
2025 J jnl
Every Language Model Has a Forgery-Resistant Signature.
CoRR
Matthew Finlayson, Xiang Ren, Swabha Swayamdipta
2025 J jnl
How Reliable is Language Model Micro-Benchmarking?
CoRR
Gregory Yauney, Shahzaib Saqib Warraich, Swabha Swayamdipta
2025 J jnl
Improving LLM Personas via Rationalization with Psychological Scaffolds.
CoRR
Brihi Joshi, Xiang Ren, Swabha Swayamdipta, Rik Koncel-Kedziorski, Tim Paek
2025 — conf
Improving Language Model Personas via Rationalization with Psychological Scaffolds.
EMNLP (Findings)
Brihi Joshi, Xiang Ren, Swabha Swayamdipta, Rik Koncel-Kedziorski, Tim Paek
2025 J jnl
On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective.
CoRR
Yue Huang, Chujie Gao, Siyuan Wu, Haoran Wang, Xiangqi Wang, Yujun Zhou, Yanbo Wang, Jiayi Ye, Jiawen Shi, Qihui Zhang, Yuan Li, Han Bao, Zhaoyi Liu, Tianrui Guan, Dongping Chen, Ruoxi Chen, Kehan Guo, Andy Zou, Bryan Hooi Kuen-Yew, Caiming Xiong, Elias Stengel-Eskin, Hongyang Zhang, Hongzhi Yin, Huan Zhang, Huaxiu Yao, Jaehong Yoon, Jieyu Zhang, Kai Shu, Kaijie Zhu, Ranjay Krishna, Swabha Swayamdipta, Taiwei Shi, Weijia Shi, Xiang Li, Yiwei Li, Yuexing Hao, Zhihao Jia, Zhize Li, Xiuying Chen, Zhengzhong Tu, Xiyang Hu, Tianyi Zhou, Jieyu Zhao, Lichao Sun, Furong Huang, Or Cohen Sasson, Prasanna Sattigeri, Anka Reuel, Max Lamparth, Yue Zhao, Nouha Dziri, Yu Su, Huan Sun, Heng Ji, Chaowei Xiao, Mohit Bansal, Nitesh V. Chawla, Jian Pei, Jianfeng Gao, Michael Backes, Philip S. Yu, Neil Zhenqiang Gong, Pin-Yu Chen, Bo Li, Xiangliang Zhang
2025 — conf
Robust Data Watermarking in Language Models by Injecting Fictitious Knowledge.
ACL (Findings)
Xinyue Cui, Johnny Tian-Zheng Wei, Swabha Swayamdipta, Robin Jia
2025 J jnl
Robust Data Watermarking in Language Models by Injecting Fictitious Knowledge.
CoRR
Xinyue Cui, Johnny Tian-Zheng Wei, Swabha Swayamdipta, Robin Jia
2025 J jnl
Sample, Align, Synthesize: Graph-Based Response Synthesis with ConGrs.
CoRR
Sayan Ghosh, Shahzaib Saqib Warraich, Dhruv Tarsadiya, Gregory Yauney, Swabha Swayamdipta
2025 J jnl
Teaching Models to Understand (but not Generate) High-risk Data.
CoRR
Ryan Wang, Matthew Finlayson, Luca Soldaini, Swabha Swayamdipta, Robin Jia
2025 J jnl
Uncovering Intervention Opportunities for Suicide Prevention with Language Model Assistants.
CoRR
Jaspreet Ranjit, Hyundong Justin Cho, Claire J. Smerdon, Yoonsoo Nam, Myles Phung, Jonathan May, John R. Blosnich, Swabha Swayamdipta
2024 — conf
Annotating FrameNet via Structure-Conditioned Language Generation.
ACL (Short Papers)
Xinyue Cui, Swabha Swayamdipta
2024 J jnl
Annotating FrameNet via Structure-Conditioned Language Generation.
CoRR
Xinyue Cui, Swabha Swayamdipta
2024 A* conf
Closing the Curious Case of Neural Text Degeneration.
ICLR
Matthew Finlayson, John Hewitt, Alexander Koller, Swabha Swayamdipta, Ashish Sabharwal
2024 — conf
Compare without Despair: Reliable Preference Evaluation with Generation Separability.
EMNLP (Findings)
Sayan Ghosh, Tejas Srinivasan, Swabha Swayamdipta
2024 J jnl
Compare without Despair: Reliable Preference Evaluation with Generation Separability.
CoRR
Sayan Ghosh, Tejas Srinivasan, Swabha Swayamdipta
2024 J jnl
Crowd-Calibrator: Can Annotator Disagreement Inform Calibration in Subjective Tasks?
CoRR
Urja Khurana, Eric T. Nalisnick, Antske Fokkens, Swabha Swayamdipta
2024 Misc conf
Does Video Summarization Require Videos? Quantifying the Effectiveness of Language in Video Summarization.
ICASSP
Yoonsoo Nam, Adam Lehavi, Daniel Yang, Digbalay Bose, Swabha Swayamdipta, Shrikanth Narayanan
2024 B conf
Generating Function Names to Improve Comprehension of Synthesized Programs.
VL/HCC
Amirmohammad Nazari, Swabha Swayamdipta, Souti Chattopadhyay, Mukund Raghothaman
2024 J jnl
Generative Explanations for Program Synthesizers.
CoRR
Amirmohammad Nazari, Souti Chattopadhyay, Swabha Swayamdipta, Mukund Raghothaman
2024 J jnl
Logits of API-Protected LLMs Leak Proprietary Information.
CoRR
Matthew Finlayson, Xiang Ren, Swabha Swayamdipta
2024 — conf
NeuroComparatives: Neuro-Symbolic Distillation of Comparative Knowledge.
NAACL-HLT (Findings)
Phillip Howard, Junlin Wang, Vasudev Lal, Gadi Singer, Yejin Choi, Swabha Swayamdipta
2024 — conf
NomNom: Explanatory Function Names for Program Synthesizers.
ICSE Companion
Amirmohammad Nazari, Souti Chattopadhyay, Swabha Swayamdipta, Mukund Raghothaman
2024 A* conf
OATH-Frames: Characterizing Online Attitudes Towards Homelessness with LLM Assistants.
EMNLP
Jaspreet Ranjit, Brihi Joshi, Rebecca Dorn, Laura Petry, Olga Koumoundouros, Jayne Bottarini, Peichen Liu, Eric Rice, Swabha Swayamdipta
2024 J jnl
OATH-Frames: Characterizing Online Attitudes Towards Homelessness with LLM Assistants.
CoRR
Jaspreet Ranjit, Brihi Joshi, Rebecca Dorn, Laura Petry, Olga Koumoundouros, Jayne Bottarini, Peichen Liu, Eric Rice, Swabha Swayamdipta
2024 — conf
Out-of-Distribution Detection through Soft Clustering with Non-Negative Kernel Regression.
EMNLP (Findings)
Aryan Gulati, Xingjian Dong, Carlos Hurtado, Sarath Shekkizhar, Swabha Swayamdipta, Antonio Ortega
2024 J jnl
Out-of-Distribution Detection through Soft Clustering with Non-Negative Kernel Regression.
CoRR
Aryan Gulati, Xingjian Dong, Carlos Hurtado, Sarath Shekkizhar, Swabha Swayamdipta, Antonio Ortega
2024 J jnl
Political-LLM: Large Language Models in Political Science.
CoRR
Lincan Li, Jiaqi Li, Catherine Chen, Fred Gui, Hongjia Yang, Chenxiao Yu, Zhengguang Wang, Jianing Cai, Junlong Aaron Zhou, Bolin Shen, Alex Qian, Weixin Chen, Zhongkai Xue, Lichao Sun, Lifang He, Hanjie Chen, Kaize Ding, Zijian Du, Fangzhou Mu, Jiaxin Pei, Jieyu Zhao, Swabha Swayamdipta, Willie Neiswanger, Hua Wei, Xiyang Hu, Shixiang Zhu, Tianlong Chen, Yingzhou Lu, Yang Shi, Lianhui Qin, Tianfan Fu, Zhengzhong Tu, Yuzhe Yang, Jaemin Yoo, Jiaheng Zhang, Ryan A. Rossi, Liang Zhan, Liang Zhao, Emilio Ferrara, Yan Liu, Furong Huang, Xiangliang Zhang, Lawrence Rothenberg, Shuiwang Ji, Philip S. Yu, Yue Zhao, Yushun Dong
2024 — ed.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop, NAACL 2024, Mexico City, Mexico, June 18, 2024
NAACL (Student Research Workshop)
Yang Trista Cao, Isabel Papadimitriou, Anaelia Ovalle, Marcos Zampieri, Francis Ferraro, Swabha Swayamdipta
2023 — conf
COBRA Frames: Contextual Reasoning about Effects and Harms of Offensive Statements.
ACL (Findings)
Xuhui Zhou, Hao Zhu, Akhila Yerukola, Thomas Davidson, Jena D. Hwang, Swabha Swayamdipta, Maarten Sap
2023 J jnl
COBRA Frames: Contextual Reasoning about Effects and Harms of Offensive Statements.
CoRR
Xuhui Zhou, Hao Zhu, Akhila Yerukola, Thomas Davidson, Jena D. Hwang, Swabha Swayamdipta, Maarten Sap
2023 J jnl
Closing the Curious Case of Neural Text Degeneration.
CoRR
Matthew Finlayson, John Hewitt, Alexander Koller, Swabha Swayamdipta, Ashish Sabharwal
2023 J jnl
Does Video Summarization Require Videos? Quantifying the Effectiveness of Language in Video Summarization.
CoRR
Yoonsoo Nam, Adam Lehavi, Daniel Yang, Digbalay Bose, Swabha Swayamdipta, Shrikanth Narayanan
2023 — conf
I2D2: Inductive Knowledge Distillation with NeuroLogic and Self-Imitation.
ACL (1)
Chandra Bhagavatula, Jena D. Hwang, Doug Downey, Ronan Le Bras, Ximing Lu, Lianhui Qin, Keisuke Sakaguchi, Swabha Swayamdipta, Peter West, Yejin Choi
2023 J jnl
MAUVE Scores for Generative Models: Theory and Practice.
J. Mach. Learn. Res.
Krishna Pillutla, Lang Liu, John Thickstun, Sean Welleck, Swabha Swayamdipta, Rowan Zellers, Sewoong Oh, Yejin Choi, Zaïd Harchaoui
2023 J jnl
NeuroComparatives: Neuro-Symbolic Distillation of Comparative Knowledge.
CoRR
Phillip Howard, Junlin Wang, Vasudev Lal, Gadi Singer, Yejin Choi, Swabha Swayamdipta
2023 — conf
REV: Information-Theoretic Evaluation of Free-Text Rationales.
ACL (1)
Hanjie Chen, Faeze Brahman, Xiang Ren, Yangfeng Ji, Yejin Choi, Swabha Swayamdipta
2023 A* conf
We're Afraid Language Models Aren't Modeling Ambiguity.
EMNLP
Alisa Liu, Zhaofeng Wu, Julian Michael, Alane Suhr, Peter West, Alexander Koller, Swabha Swayamdipta, Noah A. Smith, Yejin Choi
2023 J jnl
We're Afraid Language Models Aren't Modeling Ambiguity.
CoRR
Alisa Liu, Zhaofeng Wu, Julian Michael, Alane Suhr, Peter West, Alexander Koller, Swabha Swayamdipta, Noah A. Smith, Yejin Choi
2022 — conf
Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection.
NAACL-HLT
Maarten Sap, Swabha Swayamdipta, Laura Vianna, Xuhui Zhou, Yejin Choi, Noah A. Smith
2022 J jnl
I2D2: Inductive Knowledge Distillation with NeuroLogic and Self-Imitation.
CoRR
Chandra Bhagavatula, Jena D. Hwang, Doug Downey, Ronan Le Bras, Ximing Lu, Keisuke Sakaguchi, Swabha Swayamdipta, Peter West, Yejin Choi
2022 — conf
Investigating the Benefits of Free-Form Rationales.
EMNLP (Findings)
Jiao Sun, Swabha Swayamdipta, Jonathan May, Xuezhe Ma
2022 J jnl
Investigating the Benefits of Free-Form Rationales.
CoRR
Jiao Sun, Swabha Swayamdipta, Jonathan May, Xuezhe Ma
2022 J jnl
MAUVE Scores for Generative Models: Theory and Practice.
CoRR
Krishna Pillutla, Lang Liu, John Thickstun, Sean Welleck, Swabha Swayamdipta, Rowan Zellers, Sewoong Oh, Yejin Choi, Zaïd Harchaoui
2022 — conf
NeuroCounterfactuals: Beyond Minimal-Edit Counterfactuals for Richer Data Augmentation.
EMNLP (Findings)
Phillip Howard, Gadi Singer, Vasudev Lal, Yejin Choi, Swabha Swayamdipta
2022 J jnl
NeuroCounterfactuals: Beyond Minimal-Edit Counterfactuals for Richer Data Augmentation.
CoRR
Phillip Howard, Gadi Singer, Vasudev Lal, Yejin Choi, Swabha Swayamdipta
2022 J jnl
REV: Information-Theoretic Evaluation of Free-Text Rationales.
CoRR
Hanjie Chen, Faeze Brahman, Xiang Ren, Yangfeng Ji, Yejin Choi, Swabha Swayamdipta
2022 — conf
Reframing Human-AI Collaboration for Generating Free-Text Explanations.
NAACL-HLT
Sarah Wiegreffe, Jack Hessel, Swabha Swayamdipta, Mark O. Riedl, Yejin Choi
2022 — —
Syntactic Inductive Biases for Natural Language Processing
Swabha Swayamdipta
2022 A* conf
Understanding Dataset Difficulty with
ICML
Kawin Ethayarajh, Yejin Choi, Swabha Swayamdipta
2022 — conf
WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation.
EMNLP (Findings)
Alisa Liu, Swabha Swayamdipta, Noah A. Smith, Yejin Choi
2022 J jnl
WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation.
CoRR
Alisa Liu, Swabha Swayamdipta, Noah A. Smith, Yejin Choi
2021 J jnl
Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection.
CoRR
Maarten Sap, Swabha Swayamdipta, Laura Vianna, Xuhui Zhou, Yejin Choi, Noah A. Smith
2021 A conf
Challenges in Automated Debiasing for Toxic Language Detection.
EACL
Xuhui Zhou, Maarten Sap, Swabha Swayamdipta, Yejin Choi, Noah A. Smith
2021 J jnl
Challenges in Automated Debiasing for Toxic Language Detection.
CoRR
Xuhui Zhou, Maarten Sap, Swabha Swayamdipta, Noah A. Smith, Yejin Choi
2021 — conf
Contrastive Explanations for Model Interpretability.
EMNLP (1)
Alon Jacovi, Swabha Swayamdipta, Shauli Ravfogel, Yanai Elazar, Yejin Choi, Yoav Goldberg
2021 J jnl
Contrastive Explanations for Model Interpretability.
CoRR
Alon Jacovi, Swabha Swayamdipta, Shauli Ravfogel, Yanai Elazar, Yejin Choi, Yoav Goldberg
2021 — conf
DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts.
ACL/IJCNLP (1)
Alisa Liu, Maarten Sap, Ximing Lu, Swabha Swayamdipta, Chandra Bhagavatula, Noah A. Smith, Yejin Choi
2021 J jnl
Information-Theoretic Measures of Dataset Difficulty.
CoRR
Kawin Ethayarajh, Yejin Choi, Swabha Swayamdipta
2021 J jnl
MAUVE: Human-Machine Divergence Curves for Evaluating Open-Ended Text Generation.
CoRR
Krishna Pillutla, Swabha Swayamdipta, Rowan Zellers, John Thickstun, Yejin Choi, Zaïd Harchaoui
2021 A* conf
MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers.
NeurIPS
Krishna Pillutla, Swabha Swayamdipta, Rowan Zellers, John Thickstun, Sean Welleck, Yejin Choi, Zaïd Harchaoui
2021 J jnl
On-the-Fly Controlled Text Generation with Experts and Anti-Experts.
CoRR
Alisa Liu, Maarten Sap, Ximing Lu, Swabha Swayamdipta, Chandra Bhagavatula, Noah A. Smith, Yejin Choi
2021 J jnl
Reframing Human-AI Collaboration for Generating Free-Text Explanations.
CoRR
Sarah Wiegreffe, Jack Hessel, Swabha Swayamdipta, Mark O. Riedl, Yejin Choi
2021 J jnl
Sister Help: Data Augmentation for Frame-Semantic Role Labeling.
CoRR
Ayush Pancholy, Miriam R. L. Petruck, Swabha Swayamdipta
2020 A* conf
Adversarial Filters of Dataset Biases.
ICML
Ronan Le Bras, Swabha Swayamdipta, Chandra Bhagavatula, Rowan Zellers, Matthew E. Peters, Ashish Sabharwal, Yejin Choi
2020 J jnl
Adversarial Filters of Dataset Biases.
CoRR
Ronan Le Bras, Swabha Swayamdipta, Chandra Bhagavatula, Rowan Zellers, Matthew E. Peters, Ashish Sabharwal, Yejin Choi
2020 — conf
Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics.
EMNLP (1)
Swabha Swayamdipta, Roy Schwartz, Nicholas Lourie, Yizhong Wang, Hannaneh Hajishirzi, Noah A. Smith, Yejin Choi
2020 J jnl
Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics.
CoRR
Swabha Swayamdipta, Roy Schwartz, Nicholas Lourie, Yizhong Wang, Hannaneh Hajishirzi, Noah A. Smith, Yejin Choi
2020 A* conf
Don't Stop Pretraining: Adapt Language Models to Domains and Tasks.
ACL
Suchin Gururangan, Ana Marasovic, Swabha Swayamdipta, Kyle Lo, Iz Beltagy, Doug Downey, Noah A. Smith
2020 J jnl
Don't Stop Pretraining: Adapt Language Models to Domains and Tasks.
CoRR
Suchin Gururangan, Ana Marasovic, Swabha Swayamdipta, Kyle Lo, Iz Beltagy, Doug Downey, Noah A. Smith
2020 J jnl
G-DAUG: Generative Data Augmentation for Commonsense Reasoning.
CoRR
Yiben Yang, Chaitanya Malaviya, Jared Fernandez, Swabha Swayamdipta, Ronan Le Bras, Ji-Ping Wang, Chandra Bhagavatula, Yejin Choi, Doug Downey
2020 — conf
G-DAug: Generative Data Augmentation for Commonsense Reasoning.
EMNLP (Findings)
Yiben Yang, Chaitanya Malaviya, Jared Fernandez, Swabha Swayamdipta, Ronan Le Bras, Ji-Ping Wang, Chandra Bhagavatula, Yejin Choi, Doug Downey
2020 A* conf
The Right Tool for the Job: Matching Model and Instance Complexities.
ACL
Roy Schwartz, Gabriel Stanovsky, Swabha Swayamdipta, Jesse Dodge, Noah A. Smith
2020 J jnl
The Right Tool for the Job: Matching Model and Instance Complexities.
CoRR
Roy Schwartz, Gabi Stanovsky, Swabha Swayamdipta, Jesse Dodge, Noah A. Smith
2019 — ed.
Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP, DeepLo@EMNLP-IJCNLP 2019, Hong Kong, China, November 3, 2019
DeepLo@EMNLP-IJCNLP
Colin Cherry, Greg Durrett, George F. Foster, Reza Haffari, Shahram Khadivi, Nanyun Peng, Xiang Ren, Swabha Swayamdipta
2019 J jnl
Shallow Syntax in Deep Water.
CoRR
Swabha Swayamdipta, Matthew E. Peters, Brendan Roof, Chris Dyer, Noah A. Smith
2019 — conf
Transfer Learning in Natural Language Processing.
NAACL-HLT (Tutorial Abstracts)
Sebastian Ruder, Matthew E. Peters, Swabha Swayamdipta, Thomas Wolf
2018 — conf
Annotation Artifacts in Natural Language Inference Data.
NAACL-HLT (2)
Suchin Gururangan, Swabha Swayamdipta, Omer Levy, Roy Schwartz, Samuel R. Bowman, Noah A. Smith
2018 J jnl
Annotation Artifacts in Natural Language Inference Data.
CoRR
Suchin Gururangan, Swabha Swayamdipta, Omer Levy, Roy Schwartz, Samuel R. Bowman, Noah A. Smith
2018 — conf
Frame Semantics across Languages: Towards a Multilingual FrameNet.
COLING (Tutorials)
Collin F. Baker, Michael Ellsworth, Miriam R. L. Petruck, Swabha Swayamdipta
2018 — conf
Learning Joint Semantic Parsers from Disjoint Data.
NAACL-HLT
Hao Peng, Sam Thomson, Swabha Swayamdipta, Noah A. Smith
2018 J jnl
Learning Joint Semantic Parsers from Disjoint Data.
CoRR
Hao Peng, Sam Thomson, Swabha Swayamdipta, Noah A. Smith
2018 — conf
Multi-Mention Learning for Reading Comprehension with Neural Cascades.
ICLR (Poster)
Swabha Swayamdipta, Ankur P. Parikh, Tom Kwiatkowski
2018 — conf
Polyglot Semantic Role Labeling.
ACL (2)
Phoebe Mulcaire, Swabha Swayamdipta, Noah A. Smith
2018 J jnl
Polyglot Semantic Role Labeling.
CoRR
Phoebe Mulcaire, Swabha Swayamdipta, Noah A. Smith
2018 A* conf
Syntactic Scaffolds for Semantic Structures.
EMNLP
Swabha Swayamdipta, Sam Thomson, Kenton Lee, Luke Zettlemoyer, Chris Dyer, Noah A. Smith
2018 J jnl
Syntactic Scaffolds for Semantic Structures.
CoRR
Swabha Swayamdipta, Sam Thomson, Kenton Lee, Luke Zettlemoyer, Chris Dyer, Noah A. Smith
2017 J jnl
DyNet: The Dynamic Neural Network Toolkit.
CoRR
Graham Neubig, Chris Dyer, Yoav Goldberg, Austin Matthews, Waleed Ammar, Antonios Anastasopoulos, Miguel Ballesteros, David Chiang, Daniel Clothiaux, Trevor Cohn, Kevin Duh, Manaal Faruqui, Cynthia Gan, Dan Garrette, Yangfeng Ji, Lingpeng Kong, Adhiguna Kuncoro, Gaurav Kumar, Chaitanya Malaviya, Paul Michel, Yusuke Oda, Matthew Richardson, Naomi Saphra, Swabha Swayamdipta, Pengcheng Yin
2017 J jnl
Frame-Semantic Parsing with Softmax-Margin Segmental RNNs and a Syntactic Scaffold.
CoRR
Swabha Swayamdipta, Sam Thomson, Chris Dyer, Noah A. Smith
2017 J jnl
Multi-Mention Learning for Reading Comprehension with Neural Cascades.
CoRR
Swabha Swayamdipta, Ankur P. Parikh, Tom Kwiatkowski
2016 B conf
Greedy, Joint Syntactic-Semantic Parsing with Stack LSTMs.
CoNLL
Swabha Swayamdipta, Miguel Ballesteros, Chris Dyer, Noah A. Smith
2016 J jnl
Greedy, Joint Syntactic-Semantic Parsing with Stack LSTMs.
CoRR
Swabha Swayamdipta, Miguel Ballesteros, Chris Dyer, Noah A. Smith
2014 A* conf
A Dependency Parser for Tweets.
EMNLP
Lingpeng Kong, Nathan Schneider, Swabha Swayamdipta, Archna Bhatia, Chris Dyer, Noah A. Smith
2014 — conf
CMU: Arc-Factored, Discriminative Semantic Dependency Parsing.
SemEval@COLING
Sam Thomson, Brendan O'Connor, Jeffrey Flanigan, David Bamman, Jesse Dodge, Swabha Swayamdipta, Nathan Schneider, Chris Dyer, Noah A. Smith
2014 — conf
The CMU Machine Translation Systems at WMT 2014.
WMT@ACL
Austin Matthews, Waleed Ammar, Archna Bhatia, Weston Feely, Greg Hanneman, Eva Schlinger, Swabha Swayamdipta, Yulia Tsvetkov, Alon Lavie, Chris Dyer
2012 — conf
The Pursuit of Power and Its Manifestation in Written Dialog.
ICSC
Swabha Swayamdipta, Owen Rambow