Swabha Swayamdipta

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 69

Top Topics

Text Generation

Video Summarization

Natural Language

Semantic Parser

Top Venues

EMNLP (Findings)

Publications

Matthew Finlayson, John Hewitt, Alexander Koller, Swabha Swayamdipta, Ashish Sabharwal
Closing the Curious Case of Neural Text Degeneration. ICLR (2024)
Aryan Gulati, Xingjian Dong, Carlos Hurtado, Sarath Shekkizhar, Swabha Swayamdipta, Antonio Ortega
Out-of-Distribution Detection through Soft Clustering with Non-Negative Kernel Regression. CoRR (2024)
Jaspreet Ranjit, Brihi Joshi, Rebecca Dorn, Laura Petry, Olga Koumoundouros, Jayne Bottarini, Peichen Liu, Eric Rice, Swabha Swayamdipta
OATH-Frames: Characterizing Online Attitudes Towards Homelessness with LLM Assistants. CoRR (2024)
Sayan Ghosh, Tejas Srinivasan, Swabha Swayamdipta
Compare without Despair: Reliable Preference Evaluation with Generation Separability. CoRR (2024)
Yoonsoo Nam, Adam Lehavi, Daniel Yang, Digbalay Bose, Swabha Swayamdipta, Shrikanth Narayanan
Does Video Summarization Require Videos? Quantifying the Effectiveness of Language in Video Summarization. ICASSP (2024)
Xinyue Cui, Swabha Swayamdipta
Annotating FrameNet via Structure-Conditioned Language Generation. CoRR (2024)
Amirmohammad Nazari, Souti Chattopadhyay, Swabha Swayamdipta, Mukund Raghothaman
Generative Explanations for Program Synthesizers. CoRR (2024)
Matthew Finlayson, Xiang Ren, Swabha Swayamdipta
Logits of API-Protected LLMs Leak Proprietary Information. CoRR (2024)
Amirmohammad Nazari, Souti Chattopadhyay, Swabha Swayamdipta, Mukund Raghothaman
NomNom: Explanatory Function Names for Program Synthesizers. ICSE Companion (2024)
Hanjie Chen, Faeze Brahman, Xiang Ren, Yangfeng Ji, Yejin Choi, Swabha Swayamdipta
REV: Information-Theoretic Evaluation of Free-Text Rationales. ACL (1) (2023)
Alisa Liu, Zhaofeng Wu, Julian Michael, Alane Suhr, Peter West, Alexander Koller, Swabha Swayamdipta, Noah A. Smith, Yejin Choi
We're Afraid Language Models Aren't Modeling Ambiguity. EMNLP (2023)
Phillip Howard, Junlin Wang, Vasudev Lal, Gadi Singer, Yejin Choi, Swabha Swayamdipta
NeuroComparatives: Neuro-Symbolic Distillation of Comparative Knowledge. CoRR (2023)
Xuhui Zhou, Hao Zhu, Akhila Yerukola, Thomas Davidson, Jena D. Hwang, Swabha Swayamdipta, Maarten Sap
COBRA Frames: Contextual Reasoning about Effects and Harms of Offensive Statements. ACL (Findings) (2023)
Xuhui Zhou, Hao Zhu, Akhila Yerukola, Thomas Davidson, Jena D. Hwang, Swabha Swayamdipta, Maarten Sap
COBRA Frames: Contextual Reasoning about Effects and Harms of Offensive Statements. CoRR (2023)
Matthew Finlayson, John Hewitt, Alexander Koller, Swabha Swayamdipta, Ashish Sabharwal
Closing the Curious Case of Neural Text Degeneration. CoRR (2023)
Alisa Liu, Zhaofeng Wu, Julian Michael, Alane Suhr, Peter West, Alexander Koller, Swabha Swayamdipta, Noah A. Smith, Yejin Choi
We're Afraid Language Models Aren't Modeling Ambiguity. CoRR (2023)
Chandra Bhagavatula, Jena D. Hwang, Doug Downey, Ronan Le Bras, Ximing Lu, Lianhui Qin, Keisuke Sakaguchi, Swabha Swayamdipta, Peter West, Yejin Choi
I2D2: Inductive Knowledge Distillation with NeuroLogic and Self-Imitation. ACL (1) (2023)
Yoonsoo Nam, Adam Lehavi, Daniel Yang, Digbalay Bose, Swabha Swayamdipta, Shrikanth Narayanan
Does Video Summarization Require Videos? Quantifying the Effectiveness of Language in Video Summarization. CoRR (2023)
Maarten Sap, Swabha Swayamdipta, Laura Vianna, Xuhui Zhou, Yejin Choi, Noah A. Smith
Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection. NAACL-HLT (2022)
Kawin Ethayarajh, Yejin Choi, Swabha Swayamdipta
-Usable Information. ICML (2022)
Phillip Howard, Gadi Singer, Vasudev Lal, Yejin Choi, Swabha Swayamdipta
NeuroCounterfactuals: Beyond Minimal-Edit Counterfactuals for Richer Data Augmentation. CoRR (2022)
Krishna Pillutla, Lang Liu, John Thickstun, Sean Welleck, Swabha Swayamdipta, Rowan Zellers, Sewoong Oh, Yejin Choi, Zaïd Harchaoui
MAUVE Scores for Generative Models: Theory and Practice. CoRR (2022)
Sarah Wiegreffe, Jack Hessel, Swabha Swayamdipta, Mark O. Riedl, Yejin Choi
Reframing Human-AI Collaboration for Generating Free-Text Explanations. NAACL-HLT (2022)
Jiao Sun, Swabha Swayamdipta, Jonathan May, Xuezhe Ma
Investigating the Benefits of Free-Form Rationales. CoRR (2022)
Chandra Bhagavatula, Jena D. Hwang, Doug Downey, Ronan Le Bras, Ximing Lu, Keisuke Sakaguchi, Swabha Swayamdipta, Peter West, Yejin Choi
I2D2: Inductive Knowledge Distillation with NeuroLogic and Self-Imitation. CoRR (2022)
Jiao Sun, Swabha Swayamdipta, Jonathan May, Xuezhe Ma
Investigating the Benefits of Free-Form Rationales. EMNLP (Findings) (2022)
Hanjie Chen, Faeze Brahman, Xiang Ren, Yangfeng Ji, Yejin Choi, Swabha Swayamdipta
REV: Information-Theoretic Evaluation of Free-Text Rationales. CoRR (2022)
Alisa Liu, Swabha Swayamdipta, Noah A. Smith, Yejin Choi
WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation. EMNLP (Findings) (2022)
Phillip Howard, Gadi Singer, Vasudev Lal, Yejin Choi, Swabha Swayamdipta
NeuroCounterfactuals: Beyond Minimal-Edit Counterfactuals for Richer Data Augmentation. EMNLP (Findings) (2022)
Alisa Liu, Swabha Swayamdipta, Noah A. Smith, Yejin Choi
WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation. CoRR (2022)
Xuhui Zhou, Maarten Sap, Swabha Swayamdipta, Noah A. Smith, Yejin Choi
Challenges in Automated Debiasing for Toxic Language Detection. CoRR (2021)
Alon Jacovi, Swabha Swayamdipta, Shauli Ravfogel, Yanai Elazar, Yejin Choi, Yoav Goldberg
Contrastive Explanations for Model Interpretability. EMNLP (1) (2021)
Kawin Ethayarajh, Yejin Choi, Swabha Swayamdipta
Information-Theoretic Measures of Dataset Difficulty. CoRR (2021)
Krishna Pillutla, Swabha Swayamdipta, Rowan Zellers, John Thickstun, Sean Welleck, Yejin Choi, Zaïd Harchaoui
MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers. NeurIPS (2021)
Alisa Liu, Maarten Sap, Ximing Lu, Swabha Swayamdipta, Chandra Bhagavatula, Noah A. Smith, Yejin Choi
On-the-Fly Controlled Text Generation with Experts and Anti-Experts. CoRR (2021)
Alisa Liu, Maarten Sap, Ximing Lu, Swabha Swayamdipta, Chandra Bhagavatula, Noah A. Smith, Yejin Choi
DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts. ACL/IJCNLP (1) (2021)
Xuhui Zhou, Maarten Sap, Swabha Swayamdipta, Yejin Choi, Noah A. Smith
Challenges in Automated Debiasing for Toxic Language Detection. EACL (2021)
Sarah Wiegreffe, Jack Hessel, Swabha Swayamdipta, Mark Riedl, Yejin Choi
Reframing Human-AI Collaboration for Generating Free-Text Explanations. CoRR (2021)
Alon Jacovi, Swabha Swayamdipta, Shauli Ravfogel, Yanai Elazar, Yejin Choi, Yoav Goldberg
Contrastive Explanations for Model Interpretability. CoRR (2021)
Ayush Pancholy, Miriam R. L. Petruck, Swabha Swayamdipta
Sister Help: Data Augmentation for Frame-Semantic Role Labeling. CoRR (2021)
Krishna Pillutla, Swabha Swayamdipta, Rowan Zellers, John Thickstun, Yejin Choi, Zaïd Harchaoui
MAUVE: Human-Machine Divergence Curves for Evaluating Open-Ended Text Generation. CoRR (2021)
Maarten Sap, Swabha Swayamdipta, Laura Vianna, Xuhui Zhou, Yejin Choi, Noah A. Smith
Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection. CoRR (2021)
Swabha Swayamdipta, Roy Schwartz, Nicholas Lourie, Yizhong Wang, Hannaneh Hajishirzi, Noah A. Smith, Yejin Choi
Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics. CoRR (2020)
Yiben Yang, Chaitanya Malaviya, Jared Fernandez, Swabha Swayamdipta, Ronan Le Bras, Ji-Ping Wang, Chandra Bhagavatula, Yejin Choi, Doug Downey
G-DAug: Generative Data Augmentation for Commonsense Reasoning. EMNLP (Findings) (2020)
Roy Schwartz, Gabi Stanovsky, Swabha Swayamdipta, Jesse Dodge, Noah A. Smith
The Right Tool for the Job: Matching Model and Instance Complexities. CoRR (2020)
Ronan Le Bras, Swabha Swayamdipta, Chandra Bhagavatula, Rowan Zellers, Matthew E. Peters, Ashish Sabharwal, Yejin Choi
Adversarial Filters of Dataset Biases. CoRR (2020)
Suchin Gururangan, Ana Marasovic, Swabha Swayamdipta, Kyle Lo, Iz Beltagy, Doug Downey, Noah A. Smith
Don't Stop Pretraining: Adapt Language Models to Domains and Tasks. CoRR (2020)
Yiben Yang, Chaitanya Malaviya, Jared Fernandez, Swabha Swayamdipta, Ronan Le Bras, Ji-Ping Wang, Chandra Bhagavatula, Yejin Choi, Doug Downey
G-DAUG: Generative Data Augmentation for Commonsense Reasoning. CoRR (2020)
Suchin Gururangan, Ana Marasovic, Swabha Swayamdipta, Kyle Lo, Iz Beltagy, Doug Downey, Noah A. Smith
Don't Stop Pretraining: Adapt Language Models to Domains and Tasks. ACL (2020)
Swabha Swayamdipta, Roy Schwartz, Nicholas Lourie, Yizhong Wang, Hannaneh Hajishirzi, Noah A. Smith, Yejin Choi
Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics. EMNLP (1) (2020)
Roy Schwartz, Gabriel Stanovsky, Swabha Swayamdipta, Jesse Dodge, Noah A. Smith
The Right Tool for the Job: Matching Model and Instance Complexities. ACL (2020)
Ronan Le Bras, Swabha Swayamdipta, Chandra Bhagavatula, Rowan Zellers, Matthew E. Peters, Ashish Sabharwal, Yejin Choi
Adversarial Filters of Dataset Biases. ICML (2020)
Sebastian Ruder, Matthew E. Peters, Swabha Swayamdipta, Thomas Wolf
Transfer Learning in Natural Language Processing. NAACL-HLT (Tutorial Abstracts) (2019)
Swabha Swayamdipta, Matthew E. Peters, Brendan Roof, Chris Dyer, Noah A. Smith
Shallow Syntax in Deep Water. CoRR (2019)
Swabha Swayamdipta, Sam Thomson, Kenton Lee, Luke Zettlemoyer, Chris Dyer, Noah A. Smith
Syntactic Scaffolds for Semantic Structures. EMNLP (2018)
Suchin Gururangan, Swabha Swayamdipta, Omer Levy, Roy Schwartz, Samuel R. Bowman, Noah A. Smith
Annotation Artifacts in Natural Language Inference Data. NAACL-HLT (2) (2018)
Phoebe Mulcaire, Swabha Swayamdipta, Noah A. Smith
Polyglot Semantic Role Labeling. ACL (2) (2018)
Hao Peng, Sam Thomson, Swabha Swayamdipta, Noah A. Smith
Learning Joint Semantic Parsers from Disjoint Data. CoRR (2018)
Collin F. Baker, Michael Ellsworth, Miriam R. L. Petruck, Swabha Swayamdipta
Frame Semantics across Languages: Towards a Multilingual FrameNet. COLING (Tutorials) (2018)
Phoebe Mulcaire, Swabha Swayamdipta, Noah A. Smith
Polyglot Semantic Role Labeling. CoRR (2018)
Swabha Swayamdipta, Sam Thomson, Kenton Lee, Luke Zettlemoyer, Chris Dyer, Noah A. Smith
Syntactic Scaffolds for Semantic Structures. CoRR (2018)
Suchin Gururangan, Swabha Swayamdipta, Omer Levy, Roy Schwartz, Samuel R. Bowman, Noah A. Smith
Annotation Artifacts in Natural Language Inference Data. CoRR (2018)
Swabha Swayamdipta, Ankur P. Parikh, Tom Kwiatkowski
Multi-Mention Learning for Reading Comprehension with Neural Cascades. ICLR (Poster) (2018)
Hao Peng, Sam Thomson, Swabha Swayamdipta, Noah A. Smith
Learning Joint Semantic Parsers from Disjoint Data. NAACL-HLT (2018)
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
DyNet: The Dynamic Neural Network Toolkit. CoRR (2017)
Swabha Swayamdipta, Ankur P. Parikh, Tom Kwiatkowski
Multi-Mention Learning for Reading Comprehension with Neural Cascades. CoRR (2017)
Swabha Swayamdipta, Sam Thomson, Chris Dyer, Noah A. Smith
Frame-Semantic Parsing with Softmax-Margin Segmental RNNs and a Syntactic Scaffold. CoRR (2017)
Swabha Swayamdipta, Miguel Ballesteros, Chris Dyer, Noah A. Smith
Greedy, Joint Syntactic-Semantic Parsing with Stack LSTMs. CoRR (2016)
Swabha Swayamdipta, Miguel Ballesteros, Chris Dyer, Noah A. Smith
Greedy, Joint Syntactic-Semantic Parsing with Stack LSTMs. CoNLL (2016)
Lingpeng Kong, Nathan Schneider, Swabha Swayamdipta, Archna Bhatia, Chris Dyer, Noah A. Smith
A Dependency Parser for Tweets. EMNLP (2014)
Austin Matthews, Waleed Ammar, Archna Bhatia, Weston Feely, Greg Hanneman, Eva Schlinger, Swabha Swayamdipta, Yulia Tsvetkov, Alon Lavie, Chris Dyer
The CMU Machine Translation Systems at WMT 2014. WMT@ACL (2014)
Sam Thomson, Brendan O'Connor, Jeffrey Flanigan, David Bamman, Jesse Dodge, Swabha Swayamdipta, Nathan Schneider, Chris Dyer, Noah A. Smith
CMU: Arc-Factored, Discriminative Semantic Dependency Parsing. SemEval@COLING (2014)
Swabha Swayamdipta, Owen Rambow
The Pursuit of Power and Its Manifestation in Written Dialog. ICSC (2012)