Chandra Bhagavatula

According to our database, Chandra Bhagavatula authored at least 63 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

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

CoRR, 2023

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

CoRR, 2023

PlaSma: Making Small Language Models Better Procedural Knowledge Models for (Counterfactual) Planning.

Faeze Brahman, Chandra Bhagavatula, Valentina Pyatkin, Jena D. Hwang, Xiang Lorraine Li, Hirona J. Arai, Soumya Sanyal, Keisuke Sakaguchi, Xiang Ren, Yejin Choi

CoRR, 2023

Faith and Fate: Limits of Transformers on Compositionality.

Nouha Dziri, Ximing Lu, Melanie Sclar, Xiang Lorraine Li, Liwei Jiang, Bill Yuchen Lin, Peter West, Chandra Bhagavatula, Ronan Le Bras, Jena D. Hwang, Soumya Sanyal, Sean Welleck, Xiang Ren, Allyson Ettinger, Zaïd Harchaoui, Yejin Choi

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Faith and Fate: Limits of Transformers on Compositionality.

Nouha Dziri, Ximing Lu, Melanie Sclar, Xiang Lorraine Li, Liwei Jiang, Bill Yuchen Lin, Sean Welleck, Peter West, Chandra Bhagavatula, Ronan Le Bras, Jena D. Hwang, Soumya Sanyal, Xiang Ren, Allyson Ettinger, Zaïd Harchaoui, Yejin Choi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

NovaCOMET: Open Commonsense Foundation Models with Symbolic Knowledge Distillation.

Peter West, Ronan Le Bras, Taylor Sorensen, Bill Yuchen Lin, Liwei Jiang, Ximing Lu, Khyathi Chandu, Jack Hessel, Ashutosh Baheti, Chandra Bhagavatula, Yejin Choi

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

"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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

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

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

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

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

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

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Reinforced Clarification Question Generation with Defeasibility Rewards for Disambiguating Social and Moral Situations.

Valentina Pyatkin, Jena D. Hwang, Vivek Srikumar, Ximing Lu, Liwei Jiang, Yejin Choi, Chandra Bhagavatula

CoRR, 2022

I2D2: Inductive Knowledge Distillation with NeuroLogic and Self-Imitation.

Chandra Bhagavatula, Jena D. Hwang, Doug Downey, Ronan Le Bras, Ximing Lu, Keisuke Sakaguchi, Swabha Swayamdipta, Peter West, Yejin Choi

CoRR, 2022

GEMv2: Multilingual NLG Benchmarking in a Single Line of Code.

Sebastian Gehrmann, Abhik Bhattacharjee, Abinaya Mahendiran, Alex Wang, Alexandros Papangelis, Aman Madaan, Angelina McMillan-Major, Anna Shvets, Ashish Upadhyay, Bingsheng Yao, Bryan Wilie, Chandra Bhagavatula, Chaobin You, Craig Thomson, Cristina Garbacea, Dakuo Wang, Daniel Deutsch, Deyi Xiong, Di Jin, Dimitra Gkatzia, Dragomir R. Radev, Elizabeth Clark, Esin Durmus, Faisal Ladhak, Filip Ginter, Genta Indra Winata, Hendrik Strobelt, Hiroaki Hayashi, Jekaterina Novikova, Jenna Kanerva, Jenny Chim, Jiawei Zhou, Jordan Clive, Joshua Maynez, João Sedoc, Juraj Juraska, Kaustubh D. Dhole, Khyathi Raghavi Chandu, Laura Perez-Beltrachini, Leonardo F. R. Ribeiro, Lewis Tunstall, Li Zhang, Mahima Pushkarna, Mathias Creutz, Michael White, Mihir Sanjay Kale, Moussa Kamal Eddine, Nico Daheim, Nishant Subramani, Ondrej Dusek, Paul Pu Liang, Pawan Sasanka Ammanamanchi, Qi Zhu, Ratish Puduppully, Reno Kriz, Rifat Shahriyar, Ronald Cardenas, Saad Mahamood, Salomey Osei, Samuel Cahyawijaya, Sanja Stajner, Sébastien Montella, Shailza Jolly, Simon Mille, Tahmid Hasan, Tianhao Shen, Tosin P. AMahidewumi, Vikas Raunak, Vipul Raheja, Vitaly Nikolaev, Vivian Tsai, Yacine Jernite, Ying Xu, Yisi Sang, Yixin Liu, Yufang Hou

CoRR, 2022

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

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

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

Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations.

Jaehun Jung, Lianhui Qin, Sean Welleck, Faeze Brahman, Chandra Bhagavatula, Ronan Le Bras, Yejin Choi

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 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

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Delphi: Towards Machine Ethics and Norms.

Liwei Jiang, Jena D. Hwang, Chandra Bhagavatula, Ronan Le Bras, Maxwell Forbes, Jonathan Borchardt, Jenny T. Liang, Oren Etzioni, Maarten Sap, Yejin Choi

CoRR, 2021

On-the-Fly Controlled Text Generation with Experts and Anti-Experts.

Alisa Liu, Maarten Sap, Ximing Lu, Swabha Swayamdipta, Chandra Bhagavatula, Noah A. Smith, Yejin Choi

CoRR, 2021

proScript: Partially Ordered Scripts Generation via Pre-trained Language Models.

Keisuke Sakaguchi, Chandra Bhagavatula, Ronan Le Bras, Niket Tandon, Peter Clark, Yejin Choi

CoRR, 2021

On-the-Fly Attention Modularization for Neural Generation.

Yue Dong, Chandra Bhagavatula, Ximing Lu, Jena D. Hwang, Antoine Bosselut, Jackie Chi Kit Cheung, Yejin Choi

CoRR, 2021

WinoGrande: an adversarial winograd schema challenge at scale.

Keisuke Sakaguchi, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi

Commun. ACM, 2021

CommonsenseQA 2.0: Exposing the Limits of AI through Gamification.

Alon Talmor, Ori Yoran, Ronan Le Bras, Chandra Bhagavatula, Yoav Goldberg, Yejin Choi, Jonathan Berant

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

NeuroLogic Decoding: (Un)supervised Neural Text Generation with Predicate Logic Constraints.

Ximing Lu, Peter West, Rowan Zellers, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

"I'm Not Mad": Commonsense Implications of Negation and Contradiction.

Liwei Jiang, Antoine Bosselut, Chandra Bhagavatula, Yejin Choi

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

proScript: Partially Ordered Scripts Generation.

Keisuke Sakaguchi, Chandra Bhagavatula, Ronan Le Bras, Niket Tandon, Peter Clark, Yejin Choi

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Reflective Decoding: Beyond Unidirectional Generation with Off-the-Shelf Language Models.

Peter West, Ximing Lu, Ari Holtzman, Chandra Bhagavatula, Jena D. Hwang, Yejin Choi

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

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

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

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

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

UNICORN on RAINBOW: A Universal Commonsense Reasoning Model on a New Multitask Benchmark.

Nicholas Lourie, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 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

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Paragraph-level Commonsense Transformers with Recurrent Memory.

Saadia Gabriel, Chandra Bhagavatula, Vered Shwartz, Ronan Le Bras, Maxwell Forbes, Yejin Choi

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Reflective Decoding: Unsupervised Paraphrasing and Abductive Reasoning.

Peter West, Ximing Lu, Ari Holtzman, Chandra Bhagavatula, Jena D. Hwang, Yejin Choi

CoRR, 2020

Visual Commonsense Graphs: Reasoning about the Dynamic Context of a Still Image.

Jae Sung Park, Chandra Bhagavatula, Roozbeh Mottaghi, Ali Farhadi, Yejin Choi

CoRR, 2020

Adversarial Filters of Dataset Biases.

Ronan Le Bras, Swabha Swayamdipta, Chandra Bhagavatula, Rowan Zellers, Matthew E. Peters, Ashish Sabharwal, Yejin Choi

Proceedings of the 37th International Conference on Machine Learning, 2020

Abductive Commonsense Reasoning.

Chandra Bhagavatula, Ronan Le Bras, Chaitanya Malaviya, Keisuke Sakaguchi, Ari Holtzman, Hannah Rashkin, Doug Downey, Wen-tau Yih, Yejin Choi

Proceedings of the 8th International Conference on Learning Representations, 2020

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Unsupervised Commonsense Question Answering with Self-Talk.

Vered Shwartz, Peter West, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

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

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

VisualCOMET: Reasoning About the Dynamic Context of a Still Image.

Jae Sung Park, Chandra Bhagavatula, Roozbeh Mottaghi, Ali Farhadi, Yejin Choi

Proceedings of the Computer Vision - ECCV 2020, 2020

CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning.

Bill Yuchen Lin, Ming Shen, Wangchunshu Zhou, Pei Zhou, Chandra Bhagavatula, Yejin Choi, Xiang Ren

Proceedings of the Conference on Automated Knowledge Base Construction, 2020

Commonsense Knowledge Base Completion with Structural and Semantic Context.

Chaitanya Malaviya, Chandra Bhagavatula, Antoine Bosselut, Yejin Choi

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Exploiting Structural and Semantic Context for Commonsense Knowledge Base Completion.

Chaitanya Malaviya, Chandra Bhagavatula, Antoine Bosselut, Yejin Choi

CoRR, 2019

Claim Extraction in Biomedical Publications using Deep Discourse Model and Transfer Learning.

Titipat Achakulvisut, Chandra Bhagavatula, Daniel E. Acuna, Konrad P. Körding

CoRR, 2019

Counterfactual Story Reasoning and Generation.

Lianhui Qin, Antoine Bosselut, Ari Holtzman, Chandra Bhagavatula, Elizabeth Clark, Yejin Choi

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning.

Lifu Huang, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 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

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Content-Based Citation Recommendation.

Chandra Bhagavatula, Sergey Feldman, Russell Power, Waleed Ammar

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

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

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Ontology alignment in the biomedical domain using entity definitions and context.

Lucy Lu Wang, Chandra Bhagavatula, Mark Neumann, Kyle Lo, Chris Wilhelm, Waleed Ammar

Proceedings of the BioNLP 2018 workshop, Melbourne, Australia, July 19, 2018, 2018

2017

The AI2 system at SemEval-2017 Task 10 (ScienceIE): semi-supervised end-to-end entity and relation extraction.

Waleed Ammar, Matthew E. Peters, Chandra Bhagavatula, Russell Power

Proceedings of the 11th International Workshop on Semantic Evaluation, 2017

Semi-supervised sequence tagging with bidirectional language models.

Matthew E. Peters, Waleed Ammar, Chandra Bhagavatula, Russell Power

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2015

TabEL: Entity Linking in Web Tables.

Chandra Sekhar Bhagavatula, Thanapon Noraset, Doug Downey

Proceedings of the Semantic Web - ISWC 2015, 2015

Efficient Methods for Inferring Large Sparse Topic Hierarchies.

Doug Downey, Chandra Bhagavatula, Yi Yang

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014

WebSAIL wikifier at ERD 2014.

Thanapon Noraset, Chandra Bhagavatula, Doug Downey

Proceedings of the ERD'14, 2014

Adding High-Precision Links to Wikipedia.

Thanapon Noraset, Chandra Bhagavatula, Doug Downey

Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

2013

WebSAIL Wikifier: English Entity Linking at TAC 2013.

Thanapon Noraset, Chandra Bhagavatula, Yi Yang, Doug Downey

Proceedings of the Sixth Text Analysis Conference, 2013

Methods for exploring and mining tables on Wikipedia.

Chandra Sekhar Bhagavatula, Thanapon Noraset, Doug Downey

Proceedings of the ACM SIGKDD Workshop on Interactive Data Exploration and Analytics, 2013

Using natural language to integrate, evaluate, and optimize extracted knowledge bases.

Doug Downey, Chandra Sekhar Bhagavatula, Alexander Yates

Proceedings of the 2013 workshop on Automated knowledge base construction, 2013