Antoine Bosselut

According to our database, Antoine Bosselut authored at least 74 papers between 2016 and 2024.

Collaborative distances:

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

2024

A Design Space for Intelligent and Interactive Writing Assistants.

Mina Lee, Katy Ilonka Gero, John Joon Young Chung, Simon Buckingham Shum, Vipul Raheja, Hua Shen, Subhashini Venugopalan, Thiemo Wambsganss, David Zhou, Emad A. Alghamdi, Tal August, Avinash Bhat, Madiha Zahrah Choksi, Senjuti Dutta, Jin L. C. Guo, Md. Naimul Hoque, Yewon Kim, Simon Knight, Seyed Parsa Neshaei, Agnia Sergeyuk, Antonette Shibani, Disha Shrivastava, Lila Shroff, Jessi Stark, Sarah Sterman, Sitong Wang, Antoine Bosselut, Daniel Buschek, Joseph Chee Chang, Sherol Chen, Max Kreminski, Joonsuk Park, Roy Pea, Eugenia H. Rho, Shannon Zejiang Shen, Pao Siangliulue

CoRR, 2024

ConGeo: Robust Cross-view Geo-localization across Ground View Variations.

Li Mi, Chang Xu, Javiera Castillo-Navarro, Syrielle Montariol, Wen Yang, Antoine Bosselut, Devis Tuia

CoRR, 2024

Complex Reasoning over Logical Queries on Commonsense Knowledge Graphs.

Tianqing Fang, Zeming Chen, Yangqiu Song, Antoine Bosselut

CoRR, 2024

"Flex Tape Can't Fix That": Bias and Misinformation in Edited Language Models.

Karina Halevy, Anna Sotnikova, Badr AlKhamissi, Syrielle Montariol, Antoine Bosselut

CoRR, 2024

DiffuCOMET: Contextual Commonsense Knowledge Diffusion.

Silin Gao, Mete Ismayilzada, Mengjie Zhao, Hiromi Wakaki, Yuki Mitsufuji, Antoine Bosselut

CoRR, 2024

Making Reasoning Matter: Measuring and Improving Faithfulness of Chain-of-Thought Reasoning.

Debjit Paul, Robert West, Antoine Bosselut, Boi Faltings

CoRR, 2024

Rethinking Skill Extraction in the Job Market Domain using Large Language Models.

Khanh Cao Nguyen, Mike Zhang, Syrielle Montariol, Antoine Bosselut

CoRR, 2024

JOBSKAPE: A Framework for Generating Synthetic Job Postings to Enhance Skill Matching.

Antoine Magron, Anna Dai, Mike Zhang, Syrielle Montariol, Antoine Bosselut

CoRR, 2024

Efficient Tool Use with Chain-of-Abstraction Reasoning.

Silin Gao, Jane Dwivedi-Yu, Ping Yu, Xiaoqing Ellen Tan, Ramakanth Pasunuru, Olga Golovneva, Koustuv Sinha, Asli Celikyilmaz, Antoine Bosselut, Tianlu Wang

CoRR, 2024

Evaluating Language Model Agency through Negotiations.

Tim R. Davidson, Veniamin Veselovsky, Martin Josifoski, Maxime Peyrard, Antoine Bosselut, Michal Kosinski, Robert West

CoRR, 2024

δ-CAUSAL: Exploring Defeasibility in Causal Reasoning.

Shaobo Cui, Lazar Milikic, Yiyang Feng, Mete Ismayilzada, Debjit Paul, Antoine Bosselut, Boi Faltings

CoRR, 2024

REFINER: Reasoning Feedback on Intermediate Representations.

Debjit Paul, Mete Ismayilzada, Maxime Peyrard, Beatriz Borges, Antoine Bosselut, Robert West, Boi Faltings

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

ConVQG: Contrastive Visual Question Generation with Multimodal Guidance.

Li Mi, Syrielle Montariol, Javiera Castillo Navarro, Xianjie Dai, Antoine Bosselut, Devis Tuia

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

2023

Instruction-tuning Aligns LLMs to the Human Brain.

Khai Loong Aw, Syrielle Montariol, Badr AlKhamissi, Martin Schrimpf, Antoine Bosselut

CoRR, 2023

MEDITRON-70B: Scaling Medical Pretraining for Large Language Models.

Zeming Chen, Alejandro Hernández-Cano, Angelika Romanou, Antoine Bonnet, Kyle Matoba, Francesco Salvi, Matteo Pagliardini, Simin Fan, Andreas Köpf, Amirkeivan Mohtashami, Alexandre Sallinen, Alireza Sakhaeirad, Vinitra Swamy, Igor Krawczuk, Deniz Bayazit, Axel Marmet, Syrielle Montariol, Mary-Anne Hartley, Martin Jaggi, Antoine Bosselut

CoRR, 2023

Discovering Knowledge-Critical Subnetworks in Pretrained Language Models.

Deniz Bayazit, Negar Foroutan, Zeming Chen, Gail Weiss, Antoine Bosselut

CoRR, 2023

Let Me Teach You: Pedagogical Foundations of Feedback for Language Models.

Beatriz Borges, Niket Tandon, Tanja Käser, Antoine Bosselut

CoRR, 2023

RECKONING: Reasoning through Dynamic Knowledge Encoding.

Zeming Chen, Gail Weiss, Eric Mitchell, Asli Celikyilmaz, Antoine Bosselut

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

CAR: Conceptualization-Augmented Reasoner for Zero-Shot Commonsense Question Answering.

Weiqi Wang, Tianqing Fang, Wenxuan Ding, Baixuan Xu, Xin Liu, Yangqiu Song, Antoine Bosselut

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

CRAB: Assessing the Strength of Causal Relationships Between Real-world Events.

Angelika Romanou, Syrielle Montariol, Debjit Paul, Léo Laugier, Karl Aberer, Antoine Bosselut

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

CRoW: Benchmarking Commonsense Reasoning in Real-World Tasks.

Mete Ismayilzada, Debjit Paul, Syrielle Montariol, Mor Geva, Antoine Bosselut

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Towards a Mechanistic Interpretation of Multi-Step Reasoning Capabilities of Language Models.

Yifan Hou, Jiaoda Li, Yu Fei, Alessandro Stolfo, Wangchunshu Zhou, Guangtao Zeng, Antoine Bosselut, Mrinmaya Sachan

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Breaking the Language Barrier: Improving Cross-Lingual Reasoning with Structured Self-Attention.

Negar Foroutan, Mohammadreza Banaei, Karl Aberer, Antoine Bosselut

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

kogito: A Commonsense Knowledge Inference Toolkit.

Mete Ismayilzada, Antoine Bosselut

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

PeaCoK: Persona Commonsense Knowledge for Consistent and Engaging Narratives.

Silin Gao, Beatriz Borges, Soyoung Oh, Deniz Bayazit, Saya Kanno, Hiromi Wakaki, Yuki Mitsufuji, Antoine Bosselut

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

Mitigating Label Biases for In-context Learning.

Yu Fei, Yifan Hou, Zeming Chen, Antoine Bosselut

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

DISCO: Distilling Counterfactuals with Large Language Models.

Zeming Chen, Qiyue Gao, Antoine Bosselut, Ashish Sabharwal, Kyle Richardson

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

2022

End-to-End Task-Oriented Dialog Modeling With Semi-Structured Knowledge Management.

Silin Gao, Ryuichi Takanobu, Antoine Bosselut, Minlie Huang

IEEE ACM Trans. Audio Speech Lang. Process., 2022

DISCO: Distilling Phrasal Counterfactuals with Large Language Models.

Zeming Chen, Qiyue Gao, Kyle Richardson, Antoine Bosselut, Ashish Sabharwal

CoRR, 2022

GreaseLM: Graph REASoning Enhanced Language Models for Question Answering.

Xikun Zhang, Antoine Bosselut, Michihiro Yasunaga, Hongyu Ren, Percy Liang, Christopher D. Manning, Jure Leskovec

CoRR, 2022

Deep Bidirectional Language-Knowledge Graph Pretraining.

Michihiro Yasunaga, Antoine Bosselut, Hongyu Ren, Xikun Zhang, Christopher D. Manning, Percy Liang, Jure Leskovec

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Memory-Based Model Editing at Scale.

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

Proceedings of the International Conference on Machine Learning, 2022

Fast Model Editing at Scale.

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

Proceedings of the Tenth International Conference on Learning Representations, 2022

GreaseLM: Graph REASoning Enhanced Language Models.

Xikun Zhang, Antoine Bosselut, Michihiro Yasunaga, Hongyu Ren, Percy Liang, Christopher D. Manning, Jure Leskovec

Proceedings of the Tenth International Conference on Learning Representations, 2022

Conditional set generation using Seq2seq models.

Aman Madaan, Dheeraj Rajagopal, Niket Tandon, Yiming Yang, Antoine Bosselut

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

ComFact: A Benchmark for Linking Contextual Commonsense Knowledge.

Silin Gao, Jena D. Hwang, Saya Kanno, Hiromi Wakaki, Yuki Mitsufuji, Antoine Bosselut

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Discovering Language-neutral Sub-networks in Multilingual Language Models.

Negar Foroutan, Mohammadreza Banaei, Rémi Lebret, Antoine Bosselut, Karl Aberer

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

Synthetic Disinformation Attacks on Automated Fact Verification Systems.

Yibing Du, Antoine Bosselut, Christopher D. Manning

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

On the Opportunities and Risks of Foundation Models.

Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, Russ B. Altman, Simran Arora, Sydney von Arx, Michael S. Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, Erik Brynjolfsson, Shyamal Buch, Dallas Card, Rodrigo Castellon, Niladri S. Chatterji, Annie S. Chen, Kathleen Creel, Jared Quincy Davis, Dorottya 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 D. 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 Koh, Mark S. Krass, Ranjay Krishna, Rohith Kuditipudi, et al.

CoRR, 2021

The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics.

Sebastian Gehrmann, Tosin P. Adewumi, Karmanya Aggarwal, Pawan Sasanka Ammanamanchi, Aremu Anuoluwapo, Antoine Bosselut, Khyathi Raghavi Chandu, Miruna-Adriana Clinciu, Dipanjan Das, Kaustubh D. Dhole, Wanyu Du, Esin Durmus, Ondrej Dusek, 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 P. 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

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

Understanding Few-Shot Commonsense Knowledge Models.

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

CoRR, 2021

QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering.

Michihiro Yasunaga, Hongyu Ren, Antoine Bosselut, Percy Liang, Jure Leskovec

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

Conversational Multi-Hop Reasoning with Neural Commonsense Knowledge and Symbolic Logic Rules.

Forough Arabshahi, Jennifer Lee, Antoine Bosselut, Yejin Choi, Tom M. Mitchell

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Discourse Understanding and Factual Consistency in Abstractive Summarization.

Saadia Gabriel, Antoine Bosselut, Jeff Da, Ari Holtzman, Jan Buys, Kyle Lo, Asli Celikyilmaz, Yejin Choi

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Analyzing Commonsense Emergence in Few-shot Knowledge Models.

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

Proceedings of the 3rd Conference on Automated Knowledge Base Construction, 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

Edited Media Understanding Frames: Reasoning About the Intent and Implications of Visual Misinformation.

Jeff Da, Maxwell Forbes, Rowan Zellers, Anthony Zheng, Jena D. Hwang, Antoine Bosselut, 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

(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

Dynamic Neuro-Symbolic Knowledge Graph Construction for Zero-shot Commonsense Question Answering.

Antoine Bosselut, Ronan Le Bras, Yejin Choi

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

2020

Understanding Natural Language with Commonsense Knowledge Representation, Reasoning, and Simulation.

Antoine Bosselut

PhD thesis, 2020

Edited Media Understanding: Reasoning About Implications of Manipulated Images.

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

CoRR, 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

The Amazing World of Neural Language Generation.

Yangfeng Ji, Antoine Bosselut, Thomas Wolf, Asli Celikyilmaz

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

Procedural Reading Comprehension with Attribute-Aware Context Flow.

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

Proceedings of the Conference on Automated Knowledge Base Construction, 2020

Commonsense Reasoning for Natural Language Processing.

Maarten Sap, Vered Shwartz, Antoine Bosselut, Yejin Choi, Dan Roth

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts, 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

Dynamic Knowledge Graph Construction for Zero-shot Commonsense Question Answering.

Antoine Bosselut, Yejin Choi

CoRR, 2019

Exploiting Structural and Semantic Context for Commonsense Knowledge Base Completion.

Chaitanya Malaviya, Chandra Bhagavatula, Antoine Bosselut, Yejin Choi

CoRR, 2019

Cooperative Generator-Discriminator Networks for Abstractive Summarization with Narrative Flow.

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

CoRR, 2019

Efficient Adaptation of Pretrained Transformers for Abstractive Summarization.

Andrew Hoang, Antoine Bosselut, Asli Celikyilmaz, Yejin Choi

CoRR, 2019

Be Consistent! Improving Procedural Text Comprehension using Label Consistency.

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

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

WIQA: A dataset for "What if..." reasoning over procedural text.

Niket Tandon, Bhavana Dalvi, Keisuke Sakaguchi, Peter Clark, Antoine Bosselut

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

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

Bhavana Dalvi, Niket Tandon, Antoine Bosselut, Wen-tau Yih, Peter Clark

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

COMET: Commonsense Transformers for Automatic Knowledge Graph Construction.

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

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Deep Communicating Agents for Abstractive Summarization.

Asli Celikyilmaz, Antoine Bosselut, Xiaodong He, Yejin Choi

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

Discourse-Aware Neural Rewards for Coherent Text Generation.

Antoine Bosselut, Asli Celikyilmaz, Xiaodong He, Jianfeng Gao, Po-Sen Huang, Yejin Choi

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

Simulating Action Dynamics with Neural Process Networks.

Antoine Bosselut, Omer Levy, Ari Holtzman, Corin Ennis, Dieter Fox, Yejin Choi

Proceedings of the 6th International Conference on Learning Representations, 2018

Reasoning about Actions and State Changes by Injecting Commonsense Knowledge.

Niket Tandon, Bhavana Dalvi, Joel Grus, Wen-tau Yih, Antoine Bosselut, Peter Clark

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Modeling Naive Psychology of Characters in Simple Commonsense Stories.

Hannah Rashkin, Antoine Bosselut, Maarten Sap, Kevin Knight, Yejin Choi

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Learning to Write with Cooperative Discriminators.

Ari Holtzman, Jan Buys, Maxwell Forbes, Antoine Bosselut, David Golub, Yejin Choi

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2016

Learning Prototypical Event Structure from Photo Albums.

Antoine Bosselut, Jianfu Chen, David Scott Warren, Hannaneh Hajishirzi, Yejin Choi

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016