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Antoine Bosselut

Fast Model Editing at Scale


Oct 21, 2021
Eric Mitchell, Charles Lin, Antoine Bosselut, Chelsea Finn, Christopher D. Manning

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* View implementation and additional project info at https://sites.google.com/view/mend-editing 
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Conversational Multi-Hop Reasoning with Neural Commonsense Knowledge and Symbolic Logic Rules


Sep 17, 2021
Forough Arabshahi, Jennifer Lee, Antoine Bosselut, Yejin Choi, Tom Mitchell

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* Appearing in the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP) 
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On the Opportunities and Risks of Foundation Models


Aug 18, 2021
Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, Russ Altman, Simran Arora, Sydney von Arx, Michael S. Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, Erik Brynjolfsson, Shyamal Buch, Dallas Card, Rodrigo Castellon, Niladri Chatterji, Annie Chen, Kathleen Creel, Jared Quincy Davis, Dora Demszky, Chris Donahue, Moussa Doumbouya, Esin Durmus, Stefano Ermon, John Etchemendy, Kawin Ethayarajh, Li Fei-Fei, Chelsea Finn, Trevor Gale, Lauren Gillespie, Karan Goel, Noah Goodman, Shelby Grossman, Neel Guha, Tatsunori Hashimoto, Peter Henderson, John Hewitt, Daniel E. Ho, Jenny Hong, Kyle Hsu, Jing Huang, Thomas Icard, Saahil Jain, Dan Jurafsky, Pratyusha Kalluri, Siddharth Karamcheti, Geoff Keeling, Fereshte Khani, Omar Khattab, Pang Wei Kohd, Mark Krass, Ranjay Krishna, Rohith Kuditipudi, Ananya Kumar, Faisal Ladhak, Mina Lee, Tony Lee, Jure Leskovec, Isabelle Levent, Xiang Lisa Li, Xuechen Li, Tengyu Ma, Ali Malik, Christopher D. Manning, Suvir Mirchandani, Eric Mitchell, Zanele Munyikwa, Suraj Nair, Avanika Narayan, Deepak Narayanan, Ben Newman, Allen Nie, Juan Carlos Niebles, Hamed Nilforoshan, Julian Nyarko, Giray Ogut, Laurel Orr, Isabel Papadimitriou, Joon Sung Park, Chris Piech, Eva Portelance, Christopher Potts, Aditi Raghunathan, Rob Reich, Hongyu Ren, Frieda Rong, Yusuf Roohani, Camilo Ruiz, Jack Ryan, Christopher Ré, Dorsa Sadigh, Shiori Sagawa, Keshav Santhanam, Andy Shih, Krishnan Srinivasan, Alex Tamkin, Rohan Taori, Armin W. Thomas, Florian Tramèr, Rose E. Wang, William Wang, Bohan Wu, Jiajun Wu, Yuhuai Wu, Sang Michael Xie, Michihiro Yasunaga, Jiaxuan You, Matei Zaharia, Michael Zhang, Tianyi Zhang, Xikun Zhang, Yuhui Zhang, Lucia Zheng, Kaitlyn Zhou, Percy Liang

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* Authored by the Center for Research on Foundation Models (CRFM) at the Stanford Institute for Human-Centered Artificial Intelligence (HAI) 
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"I'm Not Mad": Commonsense Implications of Negation and Contradiction


Apr 27, 2021
Liwei Jiang, Antoine Bosselut, Chandra Bhagavatula, Yejin Choi

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* Camera Ready Version for NAACL 2021 
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QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering


Apr 13, 2021
Michihiro Yasunaga, Hongyu Ren, Antoine Bosselut, Percy Liang, Jure Leskovec

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* NAACL 2021. Code & data available at https://github.com/michiyasunaga/qagnn 
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The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics


Feb 03, 2021
Sebastian Gehrmann, Tosin Adewumi, Karmanya Aggarwal, Pawan Sasanka Ammanamanchi, Aremu Anuoluwapo, Antoine Bosselut, Khyathi Raghavi Chandu, Miruna Clinciu, Dipanjan Das, Kaustubh D. Dhole, Wanyu Du, Esin Durmus, Ondřej Dušek, Chris Emezue, Varun Gangal, Cristina Garbacea, Tatsunori Hashimoto, Yufang Hou, Yacine Jernite, Harsh Jhamtani, Yangfeng Ji, Shailza Jolly, Dhruv Kumar, Faisal Ladhak, Aman Madaan, Mounica Maddela, Khyati Mahajan, Saad Mahamood, Bodhisattwa Prasad Majumder, Pedro Henrique Martins, Angelina McMillan-Major, Simon Mille, Emiel van Miltenburg, Moin Nadeem, Shashi Narayan, Vitaly Nikolaev, Rubungo Andre Niyongabo, Salomey Osei, Ankur Parikh, Laura Perez-Beltrachini, Niranjan Ramesh Rao, Vikas Raunak, Juan Diego Rodriguez, Sashank Santhanam, João Sedoc, Thibault Sellam, Samira Shaikh, Anastasia Shimorina, Marco Antonio Sobrevilla Cabezudo, Hendrik Strobelt, Nishant Subramani, Wei Xu, Diyi Yang, Akhila Yerukola, Jiawei Zhou

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On-the-Fly Attention Modularization for Neural Generation


Jan 02, 2021
Yue Dong, Chandra Bhagavatula, Ximing Lu, Jena D. Hwang, Antoine Bosselut, Jackie Chi Kit Cheung, Yejin Choi

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* 10 pages, 3 figures 
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Understanding Few-Shot Commonsense Knowledge Models


Jan 01, 2021
Jeff Da, Ronan Le Bras, Ximing Lu, Yejin Choi, Antoine Bosselut

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Edited Media Understanding: Reasoning About Implications of Manipulated Images


Dec 08, 2020
Jeff Da, Maxwell Forbes, Rowan Zellers, Anthony Zheng, Jena D. Hwang, Antoine Bosselut, Yejin Choi

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Back to the Future: Unsupervised Backprop-based Decoding for Counterfactual and Abductive Commonsense Reasoning


Oct 20, 2020
Lianhui Qin, Vered Shwartz, Peter West, Chandra Bhagavatula, Jena Hwang, Ronan Le Bras, Antoine Bosselut, Yejin Choi

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* EMNLP 2020 
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COMET-ATOMIC 2020: On Symbolic and Neural Commonsense Knowledge Graphs


Oct 12, 2020
Jena D. Hwang, Chandra Bhagavatula, Ronan Le Bras, Jeff Da, Keisuke Sakaguchi, Antoine Bosselut, Yejin Choi

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Procedural Reading Comprehension with Attribute-Aware Context Flow


Mar 31, 2020
Aida Amini, Antoine Bosselut, Bhavana Dalvi Mishra, Yejin Choi, Hannaneh Hajishirzi

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Dynamic Knowledge Graph Construction for Zero-shot Commonsense Question Answering


Nov 10, 2019
Antoine Bosselut, Yejin Choi

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Exploiting Structural and Semantic Context for Commonsense Knowledge Base Completion


Oct 07, 2019
Chaitanya Malaviya, Chandra Bhagavatula, Antoine Bosselut, Yejin Choi

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Everything Happens for a Reason: Discovering the Purpose of Actions in Procedural Text


Sep 18, 2019
Bhavana Dalvi Mishra, Niket Tandon, Antoine Bosselut, Wen-tau Yih, Peter Clark

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* Accepted to EMNLP 2019 as a long paper. This revision fixed a typo in an author name in references 
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Counterfactual Story Reasoning and Generation


Sep 12, 2019
Lianhui Qin, Antoine Bosselut, Ari Holtzman, Chandra Bhagavatula, Elizabeth Clark, Yejin Choi

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* Accepted to EMNLP 2019 
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WIQA: A dataset for "What if..." reasoning over procedural text


Sep 10, 2019
Niket Tandon, Bhavana Dalvi Mishra, Keisuke Sakaguchi, Antoine Bosselut, Peter Clark

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* Accepted at EMNLP 2019 
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Cooperative Generator-Discriminator Networks for Abstractive Summarization with Narrative Flow


Jul 02, 2019
Saadia Gabriel, Antoine Bosselut, Ari Holtzman, Kyle Lo, Asli Celikyilmaz, Yejin Choi

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Be Consistent! Improving Procedural Text Comprehension using Label Consistency


Jun 21, 2019
Xinya Du, Bhavana Dalvi Mishra, Niket Tandon, Antoine Bosselut, Wen-tau Yih, Peter Clark, Claire Cardie

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* NAACL 2019 
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COMET: Commonsense Transformers for Automatic Knowledge Graph Construction


Jun 14, 2019
Antoine Bosselut, Hannah Rashkin, Maarten Sap, Chaitanya Malaviya, Asli Celikyilmaz, Yejin Choi

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* Accepted to ACL 2019 
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Efficient Adaptation of Pretrained Transformers for Abstractive Summarization


Jun 01, 2019
Andrew Hoang, Antoine Bosselut, Asli Celikyilmaz, Yejin Choi

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Reasoning about Actions and State Changes by Injecting Commonsense Knowledge


Aug 29, 2018
Niket Tandon, Bhavana Dalvi Mishra, Joel Grus, Wen-tau Yih, Antoine Bosselut, Peter Clark

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* Accepted at EMNLP 2018. Niket Tandon and Bhavana Dalvi Mishra contributed equally to this work 
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Deep Communicating Agents for Abstractive Summarization


Aug 15, 2018
Asli Celikyilmaz, Antoine Bosselut, Xiaodong He, Yejin Choi

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* Accepted for publication at NAACL 2018 
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Modeling Naive Psychology of Characters in Simple Commonsense Stories


May 16, 2018
Hannah Rashkin, Antoine Bosselut, Maarten Sap, Kevin Knight, Yejin Choi

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* Accepted to ACL 2018 (long paper) 
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