I am a Lead Research Scientist at the Allen Institute for AI (AI2). I am also an Affiliate Assistant Professor at University of Washington. My primary research interests are in commonsense reasoning and natural language generation, with broad interests at the intersection of commonsense and vision. I was a co-recipient of the AAAI Outstanding paper award in 2020. Before joining AI2, I received my Ph.D. in Computer Science from Northwestern University in Evanston in 2016 and Bachelors from the National Institute of Technology (Allahabad) in India.

If you'd like to get in touch, please email me at: chandrab@allenai.org

Publications

Penguins Don't Fly: Reasoning about Generics through Instantiations and Exceptions

Emily Allaway, Jena D. Hwang, Chandra Bhagavatula, Kathleen McKeown, Doug Downey, Yejin Choi

2023

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

arXiv preprint arXiv:2212.09246, 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

arXiv, 2022

Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations

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

arXiv, 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

arXiv, 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

arXiv preprint arXiv:2212.10409, 2022

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

ACL-IJCNLP, 2021

“I’m Not Mad”: Commonsense Implications of Negation and Contradiction

Liwei Jiang, Antoine Bosselut, Chandra Bhagavatula, Yejin Choi

NAACL-HLT, 2021

Delphi: Towards machine ethics and norms

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

arXiv preprint arXiv:2110.07574, 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

ACL, 2021

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

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

AAAI, 2021

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

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

EMNLP Findings, 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

NeurIPS Datasets and Benchmarks Track, 2021

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

arXiv preprint arXiv:2110.07178, 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

ACL, 2021

Commonsense Knowledge Base Completion with Structural and Semantic Context

Chaitanya Malaviya, Chandra Bhagavatula, Antoine Bosselut, Yejin Choi

AAAI, 2020

Abductive Commonsense Reasoning

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

ICLR, 2020

⭐ Outstanding Paper ⭐ WinoGrande: An Adversarial Winograd Schema Challenge at Scale

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

AAAI, 2020

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

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

ECCV ✨ Spotlight ✨ , abs/2004.10796, 2020

Adversarial Filters of Dataset Biases

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

ICML, 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

EMNLP, 2020

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

EMNLP Findings, 2020

Counterfactual Story Reasoning and Generation

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

EMNLP, 2019

Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning

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

EMNLP, 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

AAAI, 2019

Content-Based Citation Recommendation

Chandra Bhagavatula, Sergey Feldman, Russell Power, Waleed Ammar

NAACL, vol. 1, 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

NAACL, 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

BioNLP Workshop, ACL, 2018

The ai2 system at semeval-2017 task 10 (scienceie): semi-supervised end-to-end entity and relation extraction

Waleed Ammar, Matthew Peters, Chandra Bhagavatula, Russell Power

SemEval, 2017

Semi-supervised sequence tagging with bidirectional language models

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

ACL, vol. 1, 2017

TabEL: Entity Linking in Web Tables

Chandra Sekhar Bhagavatula, Thanapon Noraset, Doug Downey