Can Performant LLMs Be Ethical? Quantifying the Impact of Web Crawling Opt-Outs. Dongyang Fan, Vinko Sabolcec, Matin Ansaripour, Ayush Kumar Tarun, Martin Jaggi†, Antoine Bosselut†, Imanol Schlag† (2025). arXiv preprint.
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† (2025). Proceedings of the 31st International Conference on Computational Linguistics (COLING).
VinaBench: Benchmark for Faithful and Consistent Visual Narratives. Silin Gao, Sheryl Mathew, Li Mi, Sepideh Mamooler, Mengjie Zhao, Hiromi Wakaki, Yuki Mitsufuji, Syrielle Montariol, Antoine Bosselut (2025). Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.
Evaluating Creative Short Story Generation in Humans and Large Language Models. Mete Ismayilzada, Claire Stevenson, Lonneke van der Plas (2025). Proceedings of the International Conference on Computational Creativity (ICCC).
Evaluating Morphological Compositional Generalization in Large Language Models. Mete Ismayilzada, Defne Circi, Jonne Sälevä, Hale Sirin, Abdullatif Köksal, Bhuwan Dhingra, Antoine Bosselut, Duygu Ataman, Lonneke van der Plas (2025). Proceedings of the Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL).
PICLe: Pseudo-Annotations for In-Context Learning in Low-Resource Named Entity Detection. Sepideh Mamooler, Syrielle Montariol, Alexander Mathis, Antoine Bosselut (2025). Proceedings of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL).
ConVQG: Contrastive Visual Question Generation with Multimodal Guidance. Li Mi, Syrielle Montariol, Javiera Castillo-Navarro, Xianjie Dai, Antoine Bosselut, Devis Tuia (2024). Proceedings of the AAAI Conference on Artificial Intelligence.
δ-CAUSAL: Exploring Defeasibility in Causal Reasoning. Shaobo Cui, Lazar Milikic, Yiyang Feng, Mete Ismayilzada, Debjit Paul, Antoine Bosselut, Boi Faltings (2024). Findings of the Association for Computational Linguistics.
Complex Reasoning over Logical Queries on Commonsense Knowledge Graphs. Tianqing Fang, Zeming Chen, Yangqiu Song, Antoine Bosselut (2024). Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL).
DiffuCOMET: Contextual Commonsense Knowledge Diffusion. Silin Gao, Mete Ismayilzada, Mengjie Zhao, Hiromi Wakaki, Yuki Mitsufuji, Antoine Bosselut (2024). Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL).
Enhancing Procedural Writing Through Personalized Example Retrieval: A Case Study on Cooking Recipes. Paola Mejia-Domenzain, Jibril Frej, Seyed Parsa Neshaei, Luca Mouchel, Tanya Nazaretsky, Thiemo Wambsganss, Antoine Bosselut, Tanja Käser (2024). International Journal of Artificial Intelligence in Education.
Brain-Like Language Processing via a Shallow Untrained Multihead Attention Network. Badr AlKhamissi, Greta Tuckute, Antoine Bosselut, Martin Schrimpf (2024). arXiv preprint.
Evaluating language model agency through negotiations. Tim R Davidson, Veniamin Veselovsky, Martin Josifoski, Maxime Peyrard, Antoine Bosselut, Michal Kosinski, Robert West (2024). arXiv preprint.
Creativity in AI: Progresses and Challenges. Mete Ismayilzada, Debjit Paul, Antoine Bosselut, Lonneke van der Plas (2024). arXiv preprint.
Making Reasoning Matter: Measuring and Improving Faithfulness of Chain-of-Thought Reasoning. Debjit Paul, Robert West, Antoine Bosselut, Boi Faltings (2024). Arxiv.
Improving Autoformalization using Type Checking. Auguste Poiroux, Gail Weiss, Viktor Kunčak, Antoine Bosselut (2024). arXiv preprint.
INCLUDE: Evaluating Multilingual Language Understanding with Regional Knowledge. Angelika Romanou, Negar Foroutan, Anna Sotnikova, Zeming Chen, Sree Harsha Nelaturu, Shivalika Singh, Rishabh Maheshwary, Micol Altomare, Imanol Schlag, Marzieh Fadaee, Sara Hooker, Antoine Bosselut (2024). arXiv preprint.
Large Language Models are Catalyzing Chemistry Education. Yuanqi Du, Chenru Duan, Andres Bran, Anna Sotnikova, Yi Qu, Heather Kulik, Antoine Bosselut, Jinjia Xu, Philippe Schwaller (2024). chemrxiv preprint.
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 LC Guo, Md Naimul Hoque, Yewon Kim, Simon Knight, Seyed Parsa Neshaei, Antonette Shibani, Disha Shrivastava, Lila Shroff, Agnia Sergeyuk, Jessi Stark, Sarah Sterman, Sitong Wang, Antoine Bosselut, Daniel Buschek, Joseph Chee Chang, Sherol Chen, Max Kreminski, Joonsuk Park, Roy Pea, Eugenia Ha Rim Rho, Zejiang Shen, Pao Siangliulue (2024). Proceedings of the CHI Conference on Human Factors in Computing Systems.
Instruction-tuning Aligns LLMs to the Human Brain. Khai Loong Aw, Syrielle Montariol, Badr AlKhamissi, Martin Schrimpf, Antoine Bosselut (2024). Conference on Language Modeling (COLM).
REFINER: Reasoning Feedback on Intermediate Representations. Debjit Paul, Mete Ismayilzada, Maxime Peyrard, Beatriz Borges, Antoine Bosselut, Robert West, Boi Faltings (2024). Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics.
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 (2024). European Conference on Computer Vision (ECCV).
Discovering Knowledge-Critical Subnetworks in Pretrained Language Models. Deniz Bayazit, Negar Foroutan, Zeming Chen, Gail Weiss, Antoine Bosselut (2024). Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP).
Let Me Teach You: Pedagogical Foundations of Feedback for Language Models. Beatriz Borges, Niket Tandon, Tanja Käser, Antoine Bosselut (2024). Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP).
"Flex Tape Can't Fix That": Bias and Misinformation in Edited Language Models. Karina Halevy, Anna Sotnikova, Badr AlKhamissi, Syrielle Montariol, Antoine Bosselut (2024). Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP).
JOBSKAPE: A Framework for Generating Synthetic Job Postings to Enhance Skill Matching. Antoine Magron, Anna Dai, Mike Zhang, Syrielle Montariol, Antoine Bosselut (2024). Proceedings of the First Workshop on Natural Language Processing for Human Resources (NLP4HR 2024).
Rethinking skill extraction in the job market domain using large language models. Khanh Cao Nguyen, Mike Zhang, Syrielle Montariol, Antoine Bosselut (2024). Proceedings of the First Workshop on Natural Language Processing for Human Resources (NLP4HR 2024).
Could ChatGPT get an Engineering Degree? Evaluating Higher Education Vulnerability to AI Assistants. Beatriz Borges*, Negar Foroutan*, Deniz Bayazit*, Anna Sotnikova*, Syrielle Montariol, Tanya Nazaretzky, Mohammadreza Banaei, Alireza Sakhaeirad, Philippe Servant, Seyed Parsa Neshaei, Jibril Frej, Angelika Romanou, Gail Weiss, Sepideh Mamooler, Zeming Chen, Simin Fan, Silin Gao, Mete Ismayilzada, Debjit Paul, Philippe Schwaller, Sacha Friedli, Patrick Jermann, Tanja Käser, Antoine Bosselut, EPFL Grader Consortium (Alexandre Schöpfer, Andrej Janchevski, Anja Tiede, Clarence Linden, Emanuele Troiani, Francesco Salvi, Freya Behrens, Giacomo Orsi, Giovanni Piccioli, Hadrien Sevel, Louis Coulon, Manuela Pineros-Rodriguez, Marin Bonnassies, Pierre Hellich, Puck van Gerwen, Sankalp Gambhir, Solal Pirelli, Thomas Blanchard, Timothée Callens, Toni Abi Aoun, Yannick Calvino Alonso, Yuri Cho), EPFL Data Consortium (Aleksandra Radenovic, Alexandre Alahi, Alexander Mathis, Anne-Florence Bitbol, Boi Faltings, Cécile Hébert, Devis Tuia, François Maréchal, George Candea, Giuseppe Carleo, Jean-Cédric Chappelier, Nicolas Flammarion, Jean-Marie Fürbringer, Jean-Philippe Pellet, Karl Aberer, Lenka Zdeborová, Marcel Salathé, Martin Jaggi, Martin Rajman, Mathias Payer, Matthieu Wyart, Michael Gastpar, Michele Ceriotti, Ola Svensson, Olivier Lévêque, Paolo Ienne, Rachid Guerraoui, Robert West, Sanidhya Kashyap, Valerio Piazza, Viesturs Simanis, Viktor Kuncak, Volkan Cevher, Akhil Arora, Alberto Chiappa, Antonio Sclocchi, Étienne Bruno, Florian Hofhammer, Gabriel Pescia, Geovani Rizk, Leello Dadi, Lucas Stoffl, Manoel Horta Ribeiro, Matthieu Bovel, and Yueyang Pan) (2024). Proceedings of the National Academy of Sciences of the United States of America (PNAS).
MEDITRON: Open Medical Foundation Models Adapted for Clinical Practice. Zeming Chen, Angelika Romanou, Antoine Bonnet, Alejandro Hernández-Cano, Badr AlKhamissi, Kyle Matoba, Francesco Salvi, Matteo Pagliardini, Simin Fan, Andreas Köpf, Amirkeivan Mohtashami, Alexandre Sallinen, Alireza Sakhaeirad, Vinitra Swamy, Igor Krawczuk, Deniz Bayazit, Axel Marmet, Li Mi, Noémie Boillat-Blanco, Kristina Keitel, Javier Elkin, Blaise Robert, Syrielle Montariol, Mary-Anne Hartley, Martin Jaggi, Antoine Bosselut (2024). ResearchSquare Preprint [Nature Portfolio].
Stanford AI Index Report 2024 - Highlited Research for Science and Medicine, Spotlight Research blog by Meta AI.
Course Recommender Systems Need to Consider the Job Market. Jibril Frej, Anna Dai, Syrielle Montariol, Antoine Bosselut, Tanja Käser (2024). Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval.
Mitigating Label Biases for In-context Learning. Yu Fei, Yifan Hou, Zeming Chen, Antoine Bosselut (2023). Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL).
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 (2023). Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL).
Outstanding Paper Award.
DISCO: Distilling Counterfactuals with Large Language Models. Zeming Chen, Qiyue Gao, Antoine Bosselut, Ashish Sabharwal, Kyle Richardson (2023). Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL).
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 (2023). arXiv preprint.
Top ML Papers of the Week (by dair.ai), 1.3k GitHub ⭐.
kogito: A Commonsense Knowledge Inference Toolkit. Mete Ismayilzada, Antoine Bosselut (2023). Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics System Demonstrations.
Breaking the Language Barrier: Improving Cross-Lingual Reasoning with Structured Self-Attention. Negar Foroutan, Mohammadreza Banaei, Karl Aberer, Antoine Bosselut (2023). Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP) - Findings.
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 (2023). Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP).
CRoW: Benchmarking Commonsense Reasoning in Real-World Tasks. Mete Ismayilzada, Debjit Paul, Syrielle Montariol, Mor Geva, Antoine Bosselut (2023). Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP).
CRAB: Assessing the Strength of Causal Relationships Between Real-world Events. Angelika Romanou, Syrielle Montariol, Debjit Paul, Leo Laugier, Karl Aberer, Antoine Bosselut (2023). Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP).
CAR: Conceptualization-Augmented Reasoner for Zero-Shot Commonsense Question Answering. Weiqi Wang*, Tianqing Fang*, Wenxuan Ding, Baixuan Xu, Xin Liu, Yangqiu Song, Antoine Bosselut (2023). Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP) - Findings.
RECKONING: Reasoning through Dynamic Knowledge Encoding. Zeming Chen, Gail Weiss, Eric Mitchell, Asli Celikyilmaz, Antoine Bosselut (2023). Proceedings of the Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS).
Can language models learn analogical reasoning? Investigating training objectives and comparisons to human performance. Molly Petersen, Lonneke van der Plas (2023). Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP).
Synthetic Disinformation Attacks on Automated Fact Verification Systems. Yibing Du, Antoine Bosselut, Christopher D. Manning (2022). Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI).
Discovering Language-neutral Sub-networks in Multilingual Language Models. Negar Foroutan, Mohammadreza Banaei, Remi Lebret, Antoine Bosselut, Karl Aberer (2022). Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP).
ComFact: A Benchmark for Linking Contextual Commonsense Knowledge. Silin Gao, Jena D. Hwang, Saya Kanno, Hiromi Wakaki, Yuki Mitsufuji, Antoine Bosselut (2022). Findings of EMNLP.
Conditional set generation using Seq2seq models. Aman Madaan, Dheeraj Rajagopal, Niket Tandon, Yiming Yang, Antoine Bosselut (2022). Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP).
Fast Model Editing at Scale. Eric Mitchell, Charles Lin, Antoine Bosselut, Chelsea Finn, Christopher D. Manning (2022). Proceedings of the 10th International Conference for Learning Representations (ICLR).
GreaseLM: Graph REASoning Enhanced Language Models for Question Answering. Xikun Zhang, Antoine Bosselut, Michihiro Yasunaga, Hongyu Ren, Percy Liang, Christopher D. Manning, Jure Leskovec (2022). Proceedings of the 10th International Conference for Learning Representations (ICLR).
Spotlight (Top 5%).
Memory-Based Model Editing at Scale. Eric Mitchell, Charles Lin, Antoine Bosselut, Christopher D. Manning, Chelsea Finn (2022). Proceedings of the 39th International Conference on Machine Learning (ICML).
Deep Bidirectional Language-Knowledge Graph Pretraining. Michihiro Yasunaga, Antoine Bosselut, Hongyu Ren, Xikun Zhang, Christopher D. Manning, Percy Liang, Jure Leskovec (2022). Advances in Neural Information Processing Systems (NeurIPS).
End-to-End Task-Oriented Dialog Modeling with Semi-Structured Knowledge Management. Silin Gao, Ryuichi Takanobu, Antoine Bosselut, Minlie Huang (2022). IEEE/ACM Transactions on Audio Speech and Language (TASLP).
Dynamic Neuro-Symbolic Knowledge Graph Construction for Zero-shot Commonsense Question Answering. Antoine Bosselut, Ronan Le Bras, Yejin Choi (2021). Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI).
(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 (2021). Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI).
Edited Media Understanding Frames: Reasoning About the Intents and Implications of Visual Disinformation. Jeff Da, Maxwell Forbes, Rowan Zellers, Anthony Zheng, Jena D. Hwang, Antoine Bosselut, Yejin Choi (2021). Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics (ACL).
Analyzing Commonsense Emergence in Few-shot Knowledge Models. Jeff Da, Ronan Le Bras, Ximing Lu, Yejin Choi, Antoine Bosselut (2021). Proceedings of the 3rd Conference on Automated Knowledge Base Construction (AKBC).
Conversational Multi-Hop Reasoning with Neural Commonsense Knowledge and Symbolic Logic Rules. Forough Arabshahi, Jennifer Lee, Antoine Bosselut, Yejin Choi, Tom Mitchell (2021). Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP).
I'm Not Mad: Commonsense Implications of Negation and Contradiction. Liwei Jiang, Antoine Bosselut, Chandra Bhagavatula, Yejin Choi (2021). Proceedings of the 18th Meeting of the North American Association for Computational Linguistics (NAACL).
QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering. Michihiro Yasunaga, Hongyu Ren, Antoine Bosselut, Percy Liang, Jure Leskovec (2021). Proceedings of the 18th Meeting of the North American Association for Computational Linguistics (NAACL).
COMET: Commonsense Transformers for Automatic Knowledge Graph Construction. Antoine Bosselut, Hannah Rashkin, Maarten Sap, Chaitanya Malaviya, Asli Çelikyilmaz, Yejin Choi (2019). Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL).
Counterfactual Story Reasoning and Generation. Lianhui Qin, Antoine Bosselut, Ari Holtzman, Chandra Bhagavatula, Elizabeth Clark, Yejin Choi (2019). Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP).
Modeling Naive Psychology of Characters in Simple Commonsense Stories. Hannah Rashkin, Antoine Bosselut, Maarten Sap, Kevin Knight, Yejin Choi (2018). Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL).
Simulating Action Dynamics with Neural Process Networks. Antoine Bosselut, Omer Levy, Ari Holtzman, Corin Ennis, Dieter Fox, Yejin Choi (2018). Proceedings of the 6th International Conference for Learning Representations (ICLR).
Discourse-Aware Neural Rewards for Coherent Text Generation. Antoine Bosselut, Asli Çelikyilmaz, Xiaodong He, Jianfeng Gao, Po-Sen Huang, Yejin Choi (2018). Proceedings of the 16th Annual Meeting of the North American Association for Computational Linguistics (NAACL).
Learning Prototypical Event Structure from Photo Albums. Antoine Bosselut, Jianfu Chen, David Warren, Hannaneh Hajishirzi, Yejin Choi (2016). Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL).