Swabha Swayamdipta
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
42
Venues
11
Active years
2014–2026
Best venue rank
A*
Where they publish
Papers
42 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Believing without Seeing: Quality Scores for Contextualizing Vision-Language Model Explanations. | Keyu He, Tejas Srinivasan, Brihi Joshi, Xiang Ren, Jesse Thomason, Swabha Swayamdipta |
| 2026 | ACL | Uncovering Intervention Opportunities for Suicide Prevention with Language Model Assistants. | Jaspreet Ranjit, Hyundong Justin Cho, Claire J. Smerdon, Yoonsoo Nam, Myles Phung, Jonathan May, John R. Blosnich, Swabha Swayamdipta |
| 2026 | CHI | Are We Automating the Joy Out of Work? Designing AI to Augment Work, Not Meaning. | Jaspreet Ranjit, Ke Zhou, Swabha Swayamdipta, Daniele Quercia |
| 2025 | ACL | Robust Data Watermarking in Language Models by Injecting Fictitious Knowledge. | Xinyue Cui, Johnny Tian-Zheng Wei, Swabha Swayamdipta, Robin Jia |
| 2025 | ACL | ELI-Why: Evaluating the Pedagogical Utility of Language Model Explanations. | Brihi Joshi, Keyu He, Sahana Ramnath, Sadra Sabouri, Kaitlyn Zhou, Souti Chattopadhyay, Swabha Swayamdipta, Xiang Ren |
| 2025 | EMNLP | Improving Language Model Personas via Rationalization with Psychological Scaffolds. | Brihi Joshi, Xiang Ren, Swabha Swayamdipta, Rik Koncel-Kedziorski, Tim Paek |
| 2025 | EMNLP | Evaluating Evaluation Metrics - The Mirage of Hallucination Detection. | Atharva Kulkarni, Yuan Zhang, Joel Ruben Antony Moniz, Xiou Ge, Bo-Hsiang Tseng, Dhivya Piraviperumal, Swabha Swayamdipta, Hong Yu |
| 2024 | ACL | Annotating FrameNet via Structure-Conditioned Language Generation. | Xinyue Cui, Swabha Swayamdipta |
| 2024 | EMNLP | Compare without Despair: Reliable Preference Evaluation with Generation Separability. | Sayan Ghosh, Tejas Srinivasan, Swabha Swayamdipta |
| 2024 | EMNLP | Out-of-Distribution Detection through Soft Clustering with Non-Negative Kernel Regression. | Aryan Gulati, Xingjian Dong, Carlos Hurtado, Sarath Shekkizhar, Swabha Swayamdipta, Antonio Ortega |
| 2024 | EMNLP | OATH-Frames: Characterizing Online Attitudes Towards Homelessness with LLM Assistants. | Jaspreet Ranjit, Brihi Joshi, Rebecca Dorn, Laura Petry, Olga Koumoundouros, Jayne Bottarini, Peichen Liu, Eric Rice, Swabha Swayamdipta |
| 2024 | ICASSP | Does Video Summarization Require Videos? Quantifying the Effectiveness of Language in Video Summarization. | Yoonsoo Nam, Adam Lehavi, Daniel Yang, Digbalay Bose, Swabha Swayamdipta, Shrikanth Narayanan |
| 2024 | ICLR | Closing the Curious Case of Neural Text Degeneration. | Matthew Finlayson, John Hewitt, Alexander Koller, Swabha Swayamdipta, Ashish Sabharwal |
| 2024 | ICSE | NomNom: Explanatory Function Names for Program Synthesizers. | Amirmohammad Nazari, Souti Chattopadhyay, Swabha Swayamdipta, Mukund Raghothaman |
| 2024 | NAACL | NeuroComparatives: Neuro-Symbolic Distillation of Comparative Knowledge. | Phillip Howard, Junlin Wang, Vasudev Lal, Gadi Singer, Yejin Choi, Swabha Swayamdipta |
| 2023 | ACL | I2D2: Inductive Knowledge Distillation with NeuroLogic and Self-Imitation. | Chandra Bhagavatula, Jena D. Hwang, Doug Downey, Ronan Le Bras, Ximing Lu, Lianhui Qin, Keisuke Sakaguchi, Swabha Swayamdipta, Peter West, Yejin Choi |
| 2023 | ACL | REV: Information-Theoretic Evaluation of Free-Text Rationales. | Hanjie Chen, Faeze Brahman, Xiang Ren, Yangfeng Ji, Yejin Choi, Swabha Swayamdipta |
| 2023 | ACL | COBRA Frames: Contextual Reasoning about Effects and Harms of Offensive Statements. | Xuhui Zhou, Hao Zhu, Akhila Yerukola, Thomas Davidson, Jena D. Hwang, Swabha Swayamdipta, Maarten Sap |
| 2023 | EMNLP | 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 |
| 2022 | EMNLP | NeuroCounterfactuals: Beyond Minimal-Edit Counterfactuals for Richer Data Augmentation. | Phillip Howard, Gadi Singer, Vasudev Lal, Yejin Choi, Swabha Swayamdipta |
| 2022 | EMNLP | WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation. | Alisa Liu, Swabha Swayamdipta, Noah A. Smith, Yejin Choi |
| 2022 | EMNLP | Investigating the Benefits of Free-Form Rationales. | Jiao Sun, Swabha Swayamdipta, Jonathan May, Xuezhe Ma |
| 2022 | ICML | Understanding Dataset Difficulty with | Kawin Ethayarajh, Yejin Choi, Swabha Swayamdipta |
| 2022 | NAACL | Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection. | Maarten Sap, Swabha Swayamdipta, Laura Vianna, Xuhui Zhou, Yejin Choi, Noah A. Smith |
| 2022 | NAACL | Reframing Human-AI Collaboration for Generating Free-Text Explanations. | Sarah Wiegreffe, Jack Hessel, Swabha Swayamdipta, Mark O. Riedl, Yejin Choi |
| 2021 | ACL | DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts. | Alisa Liu, Maarten Sap, Ximing Lu, Swabha Swayamdipta, Chandra Bhagavatula, Noah A. Smith, Yejin Choi |
| 2021 | EACL | Challenges in Automated Debiasing for Toxic Language Detection. | Xuhui Zhou, Maarten Sap, Swabha Swayamdipta, Yejin Choi, Noah A. Smith |
| 2021 | EMNLP | Contrastive Explanations for Model Interpretability. | Alon Jacovi, Swabha Swayamdipta, Shauli Ravfogel, Yanai Elazar, Yejin Choi, Yoav Goldberg |
| 2020 | ACL | Don't Stop Pretraining: Adapt Language Models to Domains and Tasks. | Suchin Gururangan, Ana Marasovic, Swabha Swayamdipta, Kyle Lo, Iz Beltagy, Doug Downey, Noah A. Smith |
| 2020 | ACL | The Right Tool for the Job: Matching Model and Instance Complexities. | Roy Schwartz, Gabriel Stanovsky, Swabha Swayamdipta, Jesse Dodge, Noah A. Smith |
| 2020 | EMNLP | Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics. | Swabha Swayamdipta, Roy Schwartz, Nicholas Lourie, Yizhong Wang, Hannaneh Hajishirzi, Noah A. Smith, Yejin Choi |
| 2020 | EMNLP | G-DAug: Generative Data Augmentation for Commonsense Reasoning. | Yiben Yang, Chaitanya Malaviya, Jared Fernandez, Swabha Swayamdipta, Ronan Le Bras, Ji-Ping Wang, Chandra Bhagavatula, Yejin Choi, Doug Downey |
| 2020 | ICML | Adversarial Filters of Dataset Biases. | Ronan Le Bras, Swabha Swayamdipta, Chandra Bhagavatula, Rowan Zellers, Matthew E. Peters, Ashish Sabharwal, Yejin Choi |
| 2019 | NAACL | Transfer Learning in Natural Language Processing. | Sebastian Ruder, Matthew E. Peters, Swabha Swayamdipta, Thomas Wolf |
| 2018 | ACL | Polyglot Semantic Role Labeling. | Phoebe Mulcaire, Swabha Swayamdipta, Noah A. Smith |
| 2018 | COLING | Frame Semantics across Languages: Towards a Multilingual FrameNet. | Collin F. Baker, Michael Ellsworth, Miriam R. L. Petruck, Swabha Swayamdipta |
| 2018 | EMNLP | Syntactic Scaffolds for Semantic Structures. | Swabha Swayamdipta, Sam Thomson, Kenton Lee, Luke Zettlemoyer, Chris Dyer, Noah A. Smith |
| 2018 | ICLR | Multi-Mention Learning for Reading Comprehension with Neural Cascades. | Swabha Swayamdipta, Ankur P. Parikh, Tom Kwiatkowski |
| 2018 | NAACL | Annotation Artifacts in Natural Language Inference Data. | Suchin Gururangan, Swabha Swayamdipta, Omer Levy, Roy Schwartz, Samuel R. Bowman, Noah A. Smith |
| 2018 | NAACL | Learning Joint Semantic Parsers from Disjoint Data. | Hao Peng, Sam Thomson, Swabha Swayamdipta, Noah A. Smith |
| 2016 | CoNLL | Greedy, Joint Syntactic-Semantic Parsing with Stack LSTMs. | Swabha Swayamdipta, Miguel Ballesteros, Chris Dyer, Noah A. Smith |
| 2014 | EMNLP | A Dependency Parser for Tweets. | Lingpeng Kong, Nathan Schneider, Swabha Swayamdipta, Archna Bhatia, Chris Dyer, Noah A. Smith |