Chandra Bhagavatula
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
43
Venues
9
Active years
2014–2025
Best venue rank
A*
Where they publish
Papers
43 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | NAACL | Information-Guided Identification of Training Data Imprint in (Proprietary) Large Language Models. | Abhilasha Ravichander, Jillian Fisher, Taylor Sorensen, Ximing Lu, Maria Antoniak, Bill Yuchen Lin, Niloofar Mireshghallah, Chandra Bhagavatula, Yejin Choi |
| 2024 | AAAI | Value Kaleidoscope: Engaging AI with Pluralistic Human Values, Rights, and Duties. | Taylor Sorensen, Liwei Jiang, Jena D. Hwang, Sydney Levine, Valentina Pyatkin, Peter West, Nouha Dziri, Ximing Lu, Kavel Rao, Chandra Bhagavatula, Maarten Sap, John Tasioulas, Yejin Choi |
| 2024 | ICLR | PlaSma: Procedural Knowledge Models for Language-based Planning and Re-Planning. | Faeze Brahman, Chandra Bhagavatula, Valentina Pyatkin, Jena D. Hwang, Xiang Lorraine Li, Hirona Jacqueline Arai, Soumya Sanyal, Keisuke Sakaguchi, Xiang Ren, Yejin Choi |
| 2024 | ICLR | The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning. | Bill Yuchen Lin, Abhilasha Ravichander, Ximing Lu, Nouha Dziri, Melanie Sclar, Khyathi Raghavi Chandu, Chandra Bhagavatula, Yejin Choi |
| 2024 | ICLR | Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement. | Linlu Qiu, Liwei Jiang, Ximing Lu, Melanie Sclar, Valentina Pyatkin, Chandra Bhagavatula, Bailin Wang, Yoon Kim, Yejin Choi, Nouha Dziri, Xiang Ren |
| 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 | ClarifyDelphi: Reinforced Clarification Questions with Defeasibility Rewards for Social and Moral Situations. | Valentina Pyatkin, Jena D. Hwang, Vivek Srikumar, Ximing Lu, Liwei Jiang, Yejin Choi, Chandra Bhagavatula |
| 2023 | EACL | Penguins Don't Fly: Reasoning about Generics through Instantiations and Exceptions. | Emily Allaway, Jena D. Hwang, Chandra Bhagavatula, Kathleen R. McKeown, Doug Downey, Yejin Choi |
| 2023 | EMNLP | "You Are An Expert Linguistic Annotator": Limits of LLMs as Analyzers of Abstract Meaning Representation. | Allyson Ettinger, Jena D. Hwang, Valentina Pyatkin, Chandra Bhagavatula, Yejin Choi |
| 2023 | EMNLP | NovaCOMET: Open Commonsense Foundation Models with Symbolic Knowledge Distillation. | Peter West, Ronan Le Bras, Taylor Sorensen, Bill Yuchen Lin, Liwei Jiang, Ximing Lu, Khyathi Raghavi Chandu, Jack Hessel, Ashutosh Baheti, Chandra Bhagavatula, Yejin Choi |
| 2022 | ECCV | The Abduction of Sherlock Holmes: A Dataset for Visual Abductive Reasoning. | Jack Hessel, Jena D. Hwang, Jae Sung Park, Rowan Zellers, Chandra Bhagavatula, Anna Rohrbach, Kate Saenko, Yejin Choi |
| 2022 | EMNLP | Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations. | Jaehun Jung, Lianhui Qin, Sean Welleck, Faeze Brahman, Chandra Bhagavatula, Ronan Le Bras, Yejin Choi |
| 2022 | EMNLP | ACCoRD: A Multi-Document Approach to Generating Diverse Descriptions of Scientific Concepts. | Sonia K. Murthy, Kyle Lo, Daniel King, Chandra Bhagavatula, Bailey Kuehl, Sophie Johnson, Jonathan Borchardt, Daniel S. Weld, Tom Hope, Doug Downey |
| 2022 | NAACL | Symbolic Knowledge Distillation: from General Language Models to Commonsense Models. | Peter West, Chandra Bhagavatula, Jack Hessel, Jena D. Hwang, Liwei Jiang, Ronan Le Bras, Ximing Lu, Sean Welleck, Yejin Choi |
| 2021 | AAAI | Paragraph-level Commonsense Transformers with Recurrent Memory. | Saadia Gabriel, Chandra Bhagavatula, Vered Shwartz, Ronan Le Bras, Maxwell Forbes, Yejin Choi |
| 2021 | AAAI | (Comet-) Atomic 2020: On Symbolic and Neural Commonsense Knowledge Graphs. | Jena D. Hwang, Chandra Bhagavatula, Ronan Le Bras, Jeff Da, Keisuke Sakaguchi, Antoine Bosselut, Yejin Choi |
| 2021 | AAAI | UNICORN on RAINBOW: A Universal Commonsense Reasoning Model on a New Multitask Benchmark. | Nicholas Lourie, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi |
| 2021 | ACL | On-the-Fly Attention Modulation for Neural Generation. | Yue Dong, Chandra Bhagavatula, Ximing Lu, Jena D. Hwang, Antoine Bosselut, Jackie Chi Kit Cheung, 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 | ACL | Reflective Decoding: Beyond Unidirectional Generation with Off-the-Shelf Language Models. | Peter West, Ximing Lu, Ari Holtzman, Chandra Bhagavatula, Jena D. Hwang, Yejin Choi |
| 2021 | EMNLP | proScript: Partially Ordered Scripts Generation. | Keisuke Sakaguchi, Chandra Bhagavatula, Ronan Le Bras, Niket Tandon, Peter Clark, Yejin Choi |
| 2021 | NAACL | "I'm Not Mad": Commonsense Implications of Negation and Contradiction. | Liwei Jiang, Antoine Bosselut, Chandra Bhagavatula, Yejin Choi |
| 2021 | NAACL | NeuroLogic Decoding: (Un)supervised Neural Text Generation with Predicate Logic Constraints. | Ximing Lu, Peter West, Rowan Zellers, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi |
| 2020 | AAAI | Commonsense Knowledge Base Completion with Structural and Semantic Context. | Chaitanya Malaviya, Chandra Bhagavatula, Antoine Bosselut, Yejin Choi |
| 2020 | AAAI | WinoGrande: An Adversarial Winograd Schema Challenge at Scale. | Keisuke Sakaguchi, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi |
| 2020 | ECCV | VisualCOMET: Reasoning About the Dynamic Context of a Still Image. | Jae Sung Park, Chandra Bhagavatula, Roozbeh Mottaghi, Ali Farhadi, Yejin Choi |
| 2020 | EMNLP | CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning. | Bill Yuchen Lin, Wangchunshu Zhou, Ming Shen, Pei Zhou, Chandra Bhagavatula, Yejin Choi, Xiang Ren |
| 2020 | EMNLP | Natural Language Rationales with Full-Stack Visual Reasoning: From Pixels to Semantic Frames to Commonsense Graphs. | Ana Marasovic, Chandra Bhagavatula, Jae Sung Park, Ronan Le Bras, Noah A. Smith, Yejin Choi |
| 2020 | EMNLP | Back to the Future: Unsupervised Backprop-based Decoding for Counterfactual and Abductive Commonsense Reasoning. | Lianhui Qin, Vered Shwartz, Peter West, Chandra Bhagavatula, Jena D. Hwang, Ronan Le Bras, Antoine Bosselut, Yejin Choi |
| 2020 | EMNLP | Thinking Like a Skeptic: Defeasible Inference in Natural Language. | Rachel Rudinger, Vered Shwartz, Jena D. Hwang, Chandra Bhagavatula, Maxwell Forbes, Ronan Le Bras, Noah A. Smith, Yejin Choi |
| 2020 | EMNLP | Unsupervised Commonsense Question Answering with Self-Talk. | Vered Shwartz, Peter West, Ronan Le Bras, Chandra Bhagavatula, 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 | ICLR | Abductive Commonsense Reasoning. | Chandra Bhagavatula, Ronan Le Bras, Chaitanya Malaviya, Keisuke Sakaguchi, Ari Holtzman, Hannah Rashkin, Doug Downey, Wen-tau Yih, Yejin Choi |
| 2020 | ICML | Adversarial Filters of Dataset Biases. | Ronan Le Bras, Swabha Swayamdipta, Chandra Bhagavatula, Rowan Zellers, Matthew E. Peters, Ashish Sabharwal, Yejin Choi |
| 2019 | AAAI | ATOMIC: An Atlas of Machine Commonsense for If-Then Reasoning. | Maarten Sap, Ronan Le Bras, Emily Allaway, Chandra Bhagavatula, Nicholas Lourie, Hannah Rashkin, Brendan Roof, Noah A. Smith, Yejin Choi |
| 2019 | EMNLP | Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning. | Lifu Huang, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi |
| 2019 | EMNLP | Counterfactual Story Reasoning and Generation. | Lianhui Qin, Antoine Bosselut, Ari Holtzman, Chandra Bhagavatula, Elizabeth Clark, Yejin Choi |
| 2018 | NAACL | Construction of the Literature Graph in Semantic Scholar. | Waleed Ammar, Dirk Groeneveld, Chandra Bhagavatula, Iz Beltagy, Miles Crawford, Doug Downey, Jason Dunkelberger, Ahmed Elgohary, Sergey Feldman, Vu Ha, Rodney Kinney, Sebastian Kohlmeier, Kyle Lo, Tyler Murray, Hsu-Han Ooi, Matthew E. Peters, Joanna Power, Sam Skjonsberg, Lucy Lu Wang, Chris Wilhelm, Zheng Yuan, Madeleine van Zuylen, Oren Etzioni |
| 2018 | NAACL | Content-Based Citation Recommendation. | Chandra Bhagavatula, Sergey Feldman, Russell Power, Waleed Ammar |
| 2017 | ACL | Semi-supervised sequence tagging with bidirectional language models. | Matthew E. Peters, Waleed Ammar, Chandra Bhagavatula, Russell Power |
| 2015 | ACL | Efficient Methods for Inferring Large Sparse Topic Hierarchies. | Doug Downey, Chandra Bhagavatula, Yi Yang |
| 2014 | EMNLP | Adding High-Precision Links to Wikipedia. | Thanapon Noraset, Chandra Bhagavatula, Doug Downey |
| 2014 | SIGIR | WebSAIL wikifier at ERD 2014. | Thanapon Noraset, Chandra Bhagavatula, Doug Downey |