Chandra Bhagavatula

99 papers A* 16A 1Journal 49Unranked 33
YearRankTypeTitle / Venue / Authors
2025 J jnl
DUET: Agentic Design Understanding via Experimentation and Testing.
CoRR
Gus Henry Smith, Sandesh Adhikary, Vineet Thumuluri, Karthik Suresh, Vivek Pandit, Kartik Hegde, Hamid Shojaei, Chandra Bhagavatula
2025 — conf
Information-Guided Identification of Training Data Imprint in (Proprietary) Large Language Models.
NAACL (Long Papers)
Abhilasha Ravichander, Jillian Fisher, Taylor Sorensen, Ximing Lu, Maria Antoniak, Bill Yuchen Lin, Niloofar Mireshghallah, Chandra Bhagavatula, Yejin Choi
2025 J jnl
Information-Guided Identification of Training Data Imprint in (Proprietary) Large Language Models.
CoRR
Abhilasha Ravichander, Jillian Fisher, Taylor Sorensen, Ximing Lu, Yuchen Lin, Maria Antoniak, Niloofar Mireshghallah, Chandra Bhagavatula, Yejin Choi
2025 J jnl
Investigating machine moral judgement through the Delphi experiment.
Nat. Mac. Intell.
Liwei Jiang, Jena D. Hwang, Chandra Bhagavatula, Ronan Le Bras, Jenny T. Liang, Sydney Levine, Jesse Dodge, Keisuke Sakaguchi, Maxwell Forbes, Jack Hessel, Jonathan Borchardt, Taylor Sorensen, Saadia Gabriel, Yulia Tsvetkov, Oren Etzioni, Maarten Sap, Regina Rini, Yejin Choi
2024 J jnl
Exceptions, Instantiations, and Overgeneralization: Insights into How Language Models Process Generics.
Comput. Linguistics
Emily Allaway, Chandra Bhagavatula, Jena D. Hwang, Kathleen McKeown, Sarah-Jane Leslie
2024 A* conf
Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement.
ICLR
Linlu Qiu, Liwei Jiang, Ximing Lu, Melanie Sclar, Valentina Pyatkin, Chandra Bhagavatula, Bailin Wang, Yoon Kim, Yejin Choi, Nouha Dziri, Xiang Ren
2024 A* conf
PlaSma: Procedural Knowledge Models for Language-based Planning and Re-Planning.
ICLR
Faeze Brahman, Chandra Bhagavatula, Valentina Pyatkin, Jena D. Hwang, Xiang Lorraine Li, Hirona Jacqueline Arai, Soumya Sanyal, Keisuke Sakaguchi, Xiang Ren, Yejin Choi
2024 A* conf
The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning.
ICLR
Bill Yuchen Lin, Abhilasha Ravichander, Ximing Lu, Nouha Dziri, Melanie Sclar, Khyathi Raghavi Chandu, Chandra Bhagavatula, Yejin Choi
2024 A* conf
Value Kaleidoscope: Engaging AI with Pluralistic Human Values, Rights, and Duties.
AAAI
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
2023 — conf
"You Are An Expert Linguistic Annotator": Limits of LLMs as Analyzers of Abstract Meaning Representation.
EMNLP (Findings)
Allyson Ettinger, Jena D. Hwang, Valentina Pyatkin, Chandra Bhagavatula, Yejin Choi
2023 J jnl
"You Are An Expert Linguistic Annotator": Limits of LLMs as Analyzers of Abstract Meaning Representation.
CoRR
Allyson Ettinger, Jena D. Hwang, Valentina Pyatkin, Chandra Bhagavatula, Yejin Choi
2023 — conf
ClarifyDelphi: Reinforced Clarification Questions with Defeasibility Rewards for Social and Moral Situations.
ACL (1)
Valentina Pyatkin, Jena D. Hwang, Vivek Srikumar, Ximing Lu, Liwei Jiang, Yejin Choi, Chandra Bhagavatula
2023 A* conf
Faith and Fate: Limits of Transformers on Compositionality.
NeurIPS
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
2023 J jnl
Faith and Fate: Limits of Transformers on Compositionality.
CoRR
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
2023 — conf
I2D2: Inductive Knowledge Distillation with NeuroLogic and Self-Imitation.
ACL (1)
Chandra Bhagavatula, Jena D. Hwang, Doug Downey, Ronan Le Bras, Ximing Lu, Lianhui Qin, Keisuke Sakaguchi, Swabha Swayamdipta, Peter West, Yejin Choi
2023 — conf
NovaCOMET: Open Commonsense Foundation Models with Symbolic Knowledge Distillation.
EMNLP (Findings)
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
2023 J jnl
NovaCOMET: Open Commonsense Foundation Models with Symbolic Knowledge Distillation.
CoRR
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
2023 A conf
Penguins Don't Fly: Reasoning about Generics through Instantiations and Exceptions.
EACL
Emily Allaway, Jena D. Hwang, Chandra Bhagavatula, Kathleen R. McKeown, Doug Downey, Yejin Choi
2023 J jnl
Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement.
CoRR
Linlu Qiu, Liwei Jiang, Ximing Lu, Melanie Sclar, Valentina Pyatkin, Chandra Bhagavatula, Bailin Wang, Yoon Kim, Yejin Choi, Nouha Dziri, Xiang Ren
2023 J jnl
PlaSma: Making Small Language Models Better Procedural Knowledge Models for (Counterfactual) Planning.
CoRR
Faeze Brahman, Chandra Bhagavatula, Valentina Pyatkin, Jena D. Hwang, Xiang Lorraine Li, Hirona Jacqueline Arai, Soumya Sanyal, Keisuke Sakaguchi, Xiang Ren, Yejin Choi
2023 A* conf
SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks.
NeurIPS
Bill Yuchen Lin, Yicheng Fu, Karina Yang, Faeze Brahman, Shiyu Huang, Chandra Bhagavatula, Prithviraj Ammanabrolu, Yejin Choi, Xiang Ren
2023 J jnl
SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks.
CoRR
Bill Yuchen Lin, Yicheng Fu, Karina Yang, Prithviraj Ammanabrolu, Faeze Brahman, Shiyu Huang, Chandra Bhagavatula, Yejin Choi, Xiang Ren
2023 J jnl
The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning.
CoRR
Bill Yuchen Lin, Abhilasha Ravichander, Ximing Lu, Nouha Dziri, Melanie Sclar, Khyathi Raghavi Chandu, Chandra Bhagavatula, Yejin Choi
2023 J jnl
Value Kaleidoscope: Engaging AI with Pluralistic Human Values, Rights, and Duties.
CoRR
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
2022 — conf
ACCoRD: A Multi-Document Approach to Generating Diverse Descriptions of Scientific Concepts.
EMNLP (Demos)
Sonia K. Murthy, Kyle Lo, Daniel King, Chandra Bhagavatula, Bailey Kuehl, Sophie Johnson, Jonathan Borchardt, Daniel S. Weld, Tom Hope, Doug Downey
2022 J jnl
ACCoRD: A Multi-Document Approach to Generating Diverse Descriptions of Scientific Concepts.
CoRR
Sonia K. Murthy, Kyle Lo, Daniel King, Chandra Bhagavatula, Bailey Kuehl, Sophie Johnson, Jonathan Borchardt, Daniel S. Weld, Tom Hope, Doug Downey
2022 J jnl
CommonsenseQA 2.0: Exposing the Limits of AI through Gamification.
CoRR
Alon Talmor, Ori Yoran, Ronan Le Bras, Chandra Bhagavatula, Yoav Goldberg, Yejin Choi, Jonathan Berant
2022 J jnl
GEMv2: Multilingual NLG Benchmarking in a Single Line of Code.
CoRR
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
2022 J jnl
I2D2: Inductive Knowledge Distillation with NeuroLogic and Self-Imitation.
CoRR
Chandra Bhagavatula, Jena D. Hwang, Doug Downey, Ronan Le Bras, Ximing Lu, Keisuke Sakaguchi, Swabha Swayamdipta, Peter West, Yejin Choi
2022 A* conf
Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations.
EMNLP
Jaehun Jung, Lianhui Qin, Sean Welleck, Faeze Brahman, Chandra Bhagavatula, Ronan Le Bras, Yejin Choi
2022 J jnl
Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations.
CoRR
Jaehun Jung, Lianhui Qin, Sean Welleck, Faeze Brahman, Chandra Bhagavatula, Ronan Le Bras, Yejin Choi
2022 J jnl
Penguins Don't Fly: Reasoning about Generics through Instantiations and Exceptions.
CoRR
Emily Allaway, Jena D. Hwang, Chandra Bhagavatula, Kathleen R. McKeown, Doug Downey, Yejin Choi
2022 J jnl
Reinforced Clarification Question Generation with Defeasibility Rewards for Disambiguating Social and Moral Situations.
CoRR
Valentina Pyatkin, Jena D. Hwang, Vivek Srikumar, Ximing Lu, Liwei Jiang, Yejin Choi, Chandra Bhagavatula
2022 — conf
Symbolic Knowledge Distillation: from General Language Models to Commonsense Models.
NAACL-HLT
Peter West, Chandra Bhagavatula, Jack Hessel, Jena D. Hwang, Liwei Jiang, Ronan Le Bras, Ximing Lu, Sean Welleck, Yejin Choi
2022 — conf
The Abduction of Sherlock Holmes: A Dataset for Visual Abductive Reasoning.
ECCV (36)
Jack Hessel, Jena D. Hwang, Jae Sung Park, Rowan Zellers, Chandra Bhagavatula, Anna Rohrbach, Kate Saenko, Yejin Choi
2022 J jnl
The Abduction of Sherlock Holmes: A Dataset for Visual Abductive Reasoning.
CoRR
Jack Hessel, Jena D. Hwang, Jae Sung Park, Rowan Zellers, Chandra Bhagavatula, Anna Rohrbach, Kate Saenko, Yejin Choi
2021 — conf
"I'm Not Mad": Commonsense Implications of Negation and Contradiction.
NAACL-HLT
Liwei Jiang, Antoine Bosselut, Chandra Bhagavatula, Yejin Choi
2021 J jnl
"I'm Not Mad": Commonsense Implications of Negation and Contradiction.
CoRR
Liwei Jiang, Antoine Bosselut, Chandra Bhagavatula, Yejin Choi
2021 A* conf
(Comet-) Atomic 2020: On Symbolic and Neural Commonsense Knowledge Graphs.
AAAI
Jena D. Hwang, Chandra Bhagavatula, Ronan Le Bras, Jeff Da, Keisuke Sakaguchi, Antoine Bosselut, Yejin Choi
2021 — conf
CommonsenseQA 2.0: Exposing the Limits of AI through Gamification.
NeurIPS Datasets and Benchmarks
Alon Talmor, Ori Yoran, Ronan Le Bras, Chandra Bhagavatula, Yoav Goldberg, Yejin Choi, Jonathan Berant
2021 — conf
DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts.
ACL/IJCNLP (1)
Alisa Liu, Maarten Sap, Ximing Lu, Swabha Swayamdipta, Chandra Bhagavatula, Noah A. Smith, Yejin Choi
2021 J jnl
Delphi: Towards Machine Ethics and Norms.
CoRR
Liwei Jiang, Jena D. Hwang, Chandra Bhagavatula, Ronan Le Bras, Maxwell Forbes, Jonathan Borchardt, Jenny T. Liang, Oren Etzioni, Maarten Sap, Yejin Choi
2021 — conf
NeuroLogic Decoding: (Un)supervised Neural Text Generation with Predicate Logic Constraints.
NAACL-HLT
Ximing Lu, Peter West, Rowan Zellers, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi
2021 J jnl
On-the-Fly Attention Modularization for Neural Generation.
CoRR
Yue Dong, Chandra Bhagavatula, Ximing Lu, Jena D. Hwang, Antoine Bosselut, Jackie Chi Kit Cheung, Yejin Choi
2021 — conf
On-the-Fly Attention Modulation for Neural Generation.
ACL/IJCNLP (Findings)
Yue Dong, Chandra Bhagavatula, Ximing Lu, Jena D. Hwang, Antoine Bosselut, Jackie Chi Kit Cheung, Yejin Choi
2021 J jnl
On-the-Fly Controlled Text Generation with Experts and Anti-Experts.
CoRR
Alisa Liu, Maarten Sap, Ximing Lu, Swabha Swayamdipta, Chandra Bhagavatula, Noah A. Smith, Yejin Choi
2021 A* conf
Paragraph-level Commonsense Transformers with Recurrent Memory.
AAAI
Saadia Gabriel, Chandra Bhagavatula, Vered Shwartz, Ronan Le Bras, Maxwell Forbes, Yejin Choi
2021 — conf
Reflective Decoding: Beyond Unidirectional Generation with Off-the-Shelf Language Models.
ACL/IJCNLP (1)
Peter West, Ximing Lu, Ari Holtzman, Chandra Bhagavatula, Jena D. Hwang, Yejin Choi
2021 J jnl
Symbolic Knowledge Distillation: from General Language Models to Commonsense Models.
CoRR
Peter West, Chandra Bhagavatula, Jack Hessel, Jena D. Hwang, Liwei Jiang, Ronan Le Bras, Ximing Lu, Sean Welleck, Yejin Choi
2021 A* conf
UNICORN on RAINBOW: A Universal Commonsense Reasoning Model on a New Multitask Benchmark.
AAAI
Nicholas Lourie, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi
2021 J jnl
UNICORN on RAINBOW: A Universal Commonsense Reasoning Model on a New Multitask Benchmark.
CoRR
Nicholas Lourie, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi
2021 J jnl
WinoGrande: an adversarial winograd schema challenge at scale.
Commun. ACM
Keisuke Sakaguchi, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi
2021 J jnl
proScript: Partially Ordered Scripts Generation via Pre-trained Language Models.
CoRR
Keisuke Sakaguchi, Chandra Bhagavatula, Ronan Le Bras, Niket Tandon, Peter Clark, Yejin Choi
2021 — conf
proScript: Partially Ordered Scripts Generation.
EMNLP (Findings)
Keisuke Sakaguchi, Chandra Bhagavatula, Ronan Le Bras, Niket Tandon, Peter Clark, Yejin Choi
2020 A* conf
Abductive Commonsense Reasoning.
ICLR
Chandra Bhagavatula, Ronan Le Bras, Chaitanya Malaviya, Keisuke Sakaguchi, Ari Holtzman, Hannah Rashkin, Doug Downey, Wen-tau Yih, Yejin Choi
2020 A* conf
Adversarial Filters of Dataset Biases.
ICML
Ronan Le Bras, Swabha Swayamdipta, Chandra Bhagavatula, Rowan Zellers, Matthew E. Peters, Ashish Sabharwal, Yejin Choi
2020 J jnl
Adversarial Filters of Dataset Biases.
CoRR
Ronan Le Bras, Swabha Swayamdipta, Chandra Bhagavatula, Rowan Zellers, Matthew E. Peters, Ashish Sabharwal, Yejin Choi
2020 — conf
Back to the Future: Unsupervised Backprop-based Decoding for Counterfactual and Abductive Commonsense Reasoning.
EMNLP (1)
Lianhui Qin, Vered Shwartz, Peter West, Chandra Bhagavatula, Jena D. Hwang, Ronan Le Bras, Antoine Bosselut, Yejin Choi
2020 J jnl
Back to the Future: Unsupervised Backprop-based Decoding for Counterfactual and Abductive Commonsense Reasoning.
CoRR
Lianhui Qin, Vered Shwartz, Peter West, Chandra Bhagavatula, Jena D. Hwang, Ronan Le Bras, Antoine Bosselut, Yejin Choi
2020 J jnl
COMET-ATOMIC 2020: On Symbolic and Neural Commonsense Knowledge Graphs.
CoRR
Jena D. Hwang, Chandra Bhagavatula, Ronan Le Bras, Jeff Da, Keisuke Sakaguchi, Antoine Bosselut, Yejin Choi
2020 — conf
CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning.
AKBC
Bill Yuchen Lin, Ming Shen, Wangchunshu Zhou, Pei Zhou, Chandra Bhagavatula, Yejin Choi, Xiang Ren
2020 — conf
CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning.
EMNLP (Findings)
Bill Yuchen Lin, Wangchunshu Zhou, Ming Shen, Pei Zhou, Chandra Bhagavatula, Yejin Choi, Xiang Ren
2020 A* conf
Commonsense Knowledge Base Completion with Structural and Semantic Context.
AAAI
Chaitanya Malaviya, Chandra Bhagavatula, Antoine Bosselut, Yejin Choi
2020 J jnl
G-DAUG: Generative Data Augmentation for Commonsense Reasoning.
CoRR
Yiben Yang, Chaitanya Malaviya, Jared Fernandez, Swabha Swayamdipta, Ronan Le Bras, Ji-Ping Wang, Chandra Bhagavatula, Yejin Choi, Doug Downey
2020 — conf
G-DAug: Generative Data Augmentation for Commonsense Reasoning.
EMNLP (Findings)
Yiben Yang, Chaitanya Malaviya, Jared Fernandez, Swabha Swayamdipta, Ronan Le Bras, Ji-Ping Wang, Chandra Bhagavatula, Yejin Choi, Doug Downey
2020 — conf
Natural Language Rationales with Full-Stack Visual Reasoning: From Pixels to Semantic Frames to Commonsense Graphs.
EMNLP (Findings)
Ana Marasovic, Chandra Bhagavatula, Jae Sung Park, Ronan Le Bras, Noah A. Smith, Yejin Choi
2020 J jnl
Natural Language Rationales with Full-Stack Visual Reasoning: From Pixels to Semantic Frames to Commonsense Graphs.
CoRR
Ana Marasovic, Chandra Bhagavatula, Jae Sung Park, Ronan Le Bras, Noah A. Smith, Yejin Choi
2020 J jnl
NeuroLogic Decoding: (Un)supervised Neural Text Generation with Predicate Logic Constraints.
CoRR
Ximing Lu, Peter West, Rowan Zellers, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi
2020 J jnl
Paragraph-Level Commonsense Transformers with Recurrent Memory.
CoRR
Saadia Gabriel, Chandra Bhagavatula, Vered Shwartz, Ronan Le Bras, Maxwell Forbes, Yejin Choi
2020 J jnl
Reflective Decoding: Unsupervised Paraphrasing and Abductive Reasoning.
CoRR
Peter West, Ximing Lu, Ari Holtzman, Chandra Bhagavatula, Jena D. Hwang, Yejin Choi
2020 — conf
Thinking Like a Skeptic: Defeasible Inference in Natural Language.
EMNLP (Findings)
Rachel Rudinger, Vered Shwartz, Jena D. Hwang, Chandra Bhagavatula, Maxwell Forbes, Ronan Le Bras, Noah A. Smith, Yejin Choi
2020 — conf
Unsupervised Commonsense Question Answering with Self-Talk.
EMNLP (1)
Vered Shwartz, Peter West, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi
2020 J jnl
Unsupervised Commonsense Question Answering with Self-Talk.
CoRR
Vered Shwartz, Peter West, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi
2020 J jnl
Visual Commonsense Graphs: Reasoning about the Dynamic Context of a Still Image.
CoRR
Jae Sung Park, Chandra Bhagavatula, Roozbeh Mottaghi, Ali Farhadi, Yejin Choi
2020 — conf
VisualCOMET: Reasoning About the Dynamic Context of a Still Image.
ECCV (5)
Jae Sung Park, Chandra Bhagavatula, Roozbeh Mottaghi, Ali Farhadi, Yejin Choi
2020 A* conf
WinoGrande: An Adversarial Winograd Schema Challenge at Scale.
AAAI
Keisuke Sakaguchi, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi
2019 A* conf
ATOMIC: An Atlas of Machine Commonsense for If-Then Reasoning.
AAAI
Maarten Sap, Ronan Le Bras, Emily Allaway, Chandra Bhagavatula, Nicholas Lourie, Hannah Rashkin, Brendan Roof, Noah A. Smith, Yejin Choi
2019 J jnl
Abductive Commonsense Reasoning.
CoRR
Chandra Bhagavatula, Ronan Le Bras, Chaitanya Malaviya, Keisuke Sakaguchi, Ari Holtzman, Hannah Rashkin, Doug Downey, Scott Wen-tau Yih, Yejin Choi
2019 J jnl
Claim Extraction in Biomedical Publications using Deep Discourse Model and Transfer Learning.
CoRR
Titipat Achakulvisut, Chandra Bhagavatula, Daniel E. Acuna, Konrad P. Körding
2019 — conf
Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning.
EMNLP/IJCNLP (1)
Lifu Huang, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi
2019 J jnl
Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning.
CoRR
Lifu Huang, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi
2019 — conf
Counterfactual Story Reasoning and Generation.
EMNLP/IJCNLP (1)
Lianhui Qin, Antoine Bosselut, Ari Holtzman, Chandra Bhagavatula, Elizabeth Clark, Yejin Choi
2019 J jnl
Counterfactual Story Reasoning and Generation.
CoRR
Lianhui Qin, Antoine Bosselut, Ari Holtzman, Chandra Bhagavatula, Elizabeth Clark, Yejin Choi
2019 J jnl
Exploiting Structural and Semantic Context for Commonsense Knowledge Base Completion.
CoRR
Chaitanya Malaviya, Chandra Bhagavatula, Antoine Bosselut, Yejin Choi
2019 J jnl
WINOGRANDE: An Adversarial Winograd Schema Challenge at Scale.
CoRR
Keisuke Sakaguchi, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi
2018 J jnl
ATOMIC: An Atlas of Machine Commonsense for If-Then Reasoning.
CoRR
Maarten Sap, Ronan Le Bras, Emily Allaway, Chandra Bhagavatula, Nicholas Lourie, Hannah Rashkin, Brendan Roof, Noah A. Smith, Yejin Choi
2018 — conf
Construction of the Literature Graph in Semantic Scholar.
NAACL-HLT (3)
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 J jnl
Construction of the Literature Graph in Semantic Scholar.
CoRR
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 — conf
Content-Based Citation Recommendation.
NAACL-HLT
Chandra Bhagavatula, Sergey Feldman, Russell Power, Waleed Ammar
2018 J jnl
Content-Based Citation Recommendation.
CoRR
Chandra Bhagavatula, Sergey Feldman, Russell Power, Waleed Ammar
2018 J jnl
Ontology Alignment in the Biomedical Domain Using Entity Definitions and Context.
CoRR
Lucy Lu Wang, Chandra Bhagavatula, Mark Neumann, Kyle Lo, Chris Wilhelm, Waleed Ammar
2018 — conf
Ontology alignment in the biomedical domain using entity definitions and context.
BioNLP
Lucy Lu Wang, Chandra Bhagavatula, Mark Neumann, Kyle Lo, Chris Wilhelm, Waleed Ammar
2017 — conf
Semi-supervised sequence tagging with bidirectional language models.
ACL (1)
Matthew E. Peters, Waleed Ammar, Chandra Bhagavatula, Russell Power
2017 J jnl
Semi-supervised sequence tagging with bidirectional language models.
CoRR
Matthew E. Peters, Waleed Ammar, Chandra Bhagavatula, Russell Power
2017 — conf
The AI2 system at SemEval-2017 Task 10 (ScienceIE): semi-supervised end-to-end entity and relation extraction.
SemEval@ACL
Waleed Ammar, Matthew E. Peters, Chandra Bhagavatula, Russell Power
2015 — conf
Efficient Methods for Inferring Large Sparse Topic Hierarchies.
ACL (1)
Doug Downey, Chandra Bhagavatula, Yi Yang
2014 A* conf
Adding High-Precision Links to Wikipedia.
EMNLP
Thanapon Noraset, Chandra Bhagavatula, Doug Downey
2014 — conf
WebSAIL wikifier at ERD 2014.
ERD@SIGIR
Thanapon Noraset, Chandra Bhagavatula, Doug Downey
2013 — conf
WebSAIL Wikifier: English Entity Linking at TAC 2013.
TAC
Thanapon Noraset, Chandra Bhagavatula, Yi Yang, Doug Downey