Bhagavatula, Chandra

18 publications

ICLR 2024 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

ICLR 2024 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

ICLR 2024 The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning Bill Yuchen Lin, Abhilasha Ravichander, Ximing Lu, Nouha Dziri, Melanie Sclar, Khyathi Chandu, Chandra Bhagavatula, Yejin Choi

AAAI 2024 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

NeurIPS 2023 Faith and Fate: Limits of Transformers on Compositionality Nouha Dziri, Ximing Lu, Melanie Sclar, Xiang Li, Liwei Jiang, Bill Yuchen Lin, Sean Welleck, Peter West, Chandra Bhagavatula, Ronan Le Bras, Jena Hwang, Soumya Sanyal, Xiang Ren, Allyson Ettinger, Zaid Harchaoui, Yejin Choi

NeurIPS 2023 SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks Bill Yuchen Lin, Yicheng Fu, Karina Yang, Faeze Brahman, Shiyu Huang, Chandra Bhagavatula, Prithviraj Ammanabrolu, Yejin Choi, Xiang Ren

ICMLW 2023 SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks Bill Yuchen Lin, Yicheng Fu, Karina Yang, Prithviraj Ammanabrolu, Faeze Brahman, Shiyu Huang, Chandra Bhagavatula, Yejin Choi, Xiang Ren

NeurIPSW 2023 URIAL: Tuning-Free Instruction Learning and Alignment for Untuned LLMs Bill Yuchen Lin, Abhilasha Ravichander, Ximing Lu, Nouha Dziri, Melanie Sclar, Khyathi Chandu, Chandra Bhagavatula, Yejin Choi

ECCV 2022 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

AAAI 2021 (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

AAAI 2021 Paragraph-Level Commonsense Transformers with Recurrent Memory Saadia Gabriel, Chandra Bhagavatula, Vered Shwartz, Ronan Le Bras, Maxwell Forbes, Yejin Choi

AAAI 2021 UNICORN on RAINBOW: A Universal Commonsense Reasoning Model on a New Multitask Benchmark Nicholas Lourie, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi

ICLR 2020 Abductive Commonsense Reasoning Chandra Bhagavatula, Ronan Le Bras, Chaitanya Malaviya, Keisuke Sakaguchi, Ari Holtzman, Hannah Rashkin, Doug Downey, Scott Wen-tau Yih, Yejin Choi

ICML 2020 Adversarial Filters of Dataset Biases Ronan Le Bras, Swabha Swayamdipta, Chandra Bhagavatula, Rowan Zellers, Matthew Peters, Ashish Sabharwal, Yejin Choi

AAAI 2020 Commonsense Knowledge Base Completion with Structural and Semantic Context Chaitanya Malaviya, Chandra Bhagavatula, Antoine Bosselut, Yejin Choi

ECCV 2020 VisualCOMET: Reasoning About the Dynamic Context of a Still Image Jae Sung Park, Chandra Bhagavatula, Roozbeh Mottaghi, Ali Farhadi, Yejin Choi

AAAI 2020 WinoGrande: An Adversarial Winograd Schema Challenge at Scale Keisuke Sakaguchi, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi

AAAI 2019 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