Antoine Bosselut

According to our database, Antoine Bosselut authored at least 130 papers between 2015 and 2026.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2026

Diversity Matters: Revisiting Test-Time Compute in Vision-Language Models.

Yijie Tong, Yifan Hou, Shaobo Cui, Antoine Bosselut, Mrinmaya Sachan

CoRR, May, 2026

Do LLMs Game Formalization? Evaluating Faithfulness in Logical Reasoning.

Kyuhee Kim, Auguste Poiroux, Antoine Bosselut

CoRR, April, 2026

An Engineering Journey Training Large Language Models at Scale on Alps: The Apertus Experience.

Jonathan Coles, Stefano Schuppli, Lukas Drescher, Fawzi Mohamed, Elia Palme, Henrique Mendonça, Miguel Gila, Mark Klein, Maxime Martinasso, Joost VandeVondele, Torsten Hoefler, Thomas C. Schulthess, Josh Romero, Igor Gorodetsky, Ryan Hankins, Isa Wazirzada, Martin Jaggi, Antoine Bosselut, Imanol Schlag, Antoni-Joan Solergibert i Llaquet, Alejandro Hernández-Cano, Theofilos Ioannis Manitaras, Nicholas John Browning

CoRR, April, 2026

Large Language Models Align with the Human Brain during Creative Thinking.

Mete Ismayilzada, Simone Luchini, Abdulkadir Gokce, Badr AlKhamissi, Antoine Bosselut, Antonio Laverghetta Jr., Lonneke van der Plas, Roger E. Beaty

CoRR, April, 2026

CresOWLve: Benchmarking Creative Problem-Solving Over Real-World Knowledge.

Mete Ismayilzada, Renqing Cuomao, Daniil Yurshevich, Anna Sotnikova, Lonneke van der Plas, Antoine Bosselut

CoRR, April, 2026

AI Meets Mathematics Education: A Case Study on Supporting an Instructor in a Large Mathematics Class with Context-Aware AI.

Jérémy Barghorn, Anna Sotnikova, Sacha Friedli, Antoine Bosselut

CoRR, March, 2026

Brittlebench: Quantifying LLM robustness via prompt sensitivity.

Angelika Romanou, Mark Ibrahim, Candace Ross, Chantal Shaib, Kerem Okta, Samuel J. Bell, Elia Ovalle, Jesse Dodge, Antoine Bosselut, Koustuv Sinha, Adina Williams

CoRR, March, 2026

Helpful to a Fault: Measuring Illicit Assistance in Multi-Turn, Multilingual LLM Agents.

Nivya Talokar, Ayush K. Tarun, Murari Mandal, Maksym Andriushchenko, Antoine Bosselut

CoRR, February, 2026

Buy versus Build an LLM: A Decision Framework for Governments.

Jiahao Lu, Ziwei Xu, William Tjhi, Junnan Li, Antoine Bosselut, Pang Wei Koh, Mohan Kankanhalli

CoRR, February, 2026

ConLID: Supervised Contrastive Learning for Low-Resource Language Identification.

Negar Foroutan, Jakhongir Saydaliev, Grace Kim, Antoine Bosselut

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

Tracking the Limits of Knowledge Propagation: How LLMs Fail at Multi-Step Reasoning with Conflicting Knowledge.

Yiyang Feng, Zeming Chen, Haotian Wu, Jiawei Zhou, Antoine Bosselut

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

DRIVINGVQA: A Dataset for Interleaved Visual Chain-of-Thought in Real-World Driving Scenarios.

Charles Corbière, Simon Roburin, Syrielle Montariol, Antoine Bosselut, Alexandre Alahi

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

AI meets Mathematics Education: Supporting Instructors in Large Mathematics Classes with Context-Aware AI.

Jérémy Valentin Barghorn, Anna Sotnikova, Sacha Friedli, Antoine Bosselut

Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

Apertus: Democratizing Open and Compliant LLMs for Global Language Environments.

Alejandro Hernández-Cano, Alexander Hägele, Allen Hao Huang, Angelika Romanou, Antoni-Joan Solergibert i Llaquet, Barna Pásztor, Bettina Messmer, Dhia Garbaya, Eduard Frank Durech, Ido Hakimi, Juan Garcia Giraldo, Mete Ismayilzada, Negar Foroutan, Skander Moalla, Tiancheng Chen, Vinko Sabolcec, Yixuan Even Xu, Michael Aerni, Badr AlKhamissi, Ines Altemir Marinas, Mohammad Hossein Amani, Matin Ansaripour, Ilia Badanin, Harold Benoit, Emanuela Boros, Nicholas John Browning, Fabian Bösch, Maximilian Böther, Niklas Canova, Camille Challier, Clément Charmillot, Jonathan Coles, Jan Milan Deriu, Arnout Devos, Lukas Drescher, Daniil Dzenhaliou, Maud Ehrmann, Dongyang Fan, Simin Fan, Silin Gao, Miguel Gila, María Grandury, Diba Hashemi, Alexander Miserlis Hoyle, Jiaming Jiang, Mark Klein, Andrei Kucharavy, Anastasiia Kucherenko, Frederike Lübeck, Roman Machacek, Theofilos Ioannis Manitaras, Andreas Marfurt, Kyle Matoba, Simon Matrenok, Henrique Mendonça, Fawzi Roberto Mohamed, Syrielle Montariol, Luca Mouchel, Sven Najem-Meyer, Jingwei Ni, Gennaro Oliva, Matteo Pagliardini, Elia Palme, Andrei Panferov, Léo Paoletti, Marco Passerini, Ivan Pavlov, Auguste Poiroux, Kaustubh Ponkshe, Nathan Ranchin, Javier Rando, Mathieu Sauser, Jakhongir Saydaliev, Mukhammadali Sayfiddinov, Marian Schneider, Stefano Schuppli, Marco Scialanga, Andrei Semenov, Kumar Shridhar, Raghav Singhal, Anna Sotnikova, Alexander Sternfeld, Ayush Kumar Tarun, Paul Teiletche, Jannis Vamvas, Xiaozhe Yao, Hao Zhao, Alexander Ilic, Ana Klimovic, Andreas Krause, Caglar Gulcehre, David Rosenthal, Elliott Ash, Florian Tramèr, Joost VandeVondele, Livio Veraldi, Martin Rajman, Thomas C. Schulthess, Torsten Hoefler, Antoine Bosselut, Martin Jaggi, Imanol Schlag

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Parity-Aware Byte-Pair Encoding: Improving Cross-lingual Fairness in Tokenization.

Negar Foroutan, Clara Meister, Debjit Paul, Joel Niklaus, Sina Ahmadi, Antoine Bosselut, Rico Sennrich

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Crosscoding Through Time: Tracking Emergence & Consolidation Of Linguistic Representations Throughout LLM Pretraining.

Deniz Bayazit, Aaron Mueller, Antoine Bosselut

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

Measuring what Matters: Construct Validity in Large Language Model Benchmarks.

Andrew M. Bean, Ryan Othniel Kearns, Angelika Romanou, Franziska Sofia Hafner, Harry Mayne, Jan Batzner, Negar Foroutan, Chris Schmitz, Karolina Korgul, Hunar Batra, Oishi Deb, Emma Beharry, Cornelius Emde, Thomas Foster, Anna Gausen, María Grandury, Simeng Han, Valentin Hofmann, Lujain Ibrahim, Hazel Kim, Hannah Rose Kirk, Fangru Lin, Gabrielle Kaili-May Liu, Lennart Luettgau, Jabez Magomere, Jonathan Rystrøm, Anna Sotnikova, Yushi Yang, Yilun Zhao, Adel Bibi, Antoine Bosselut, Ronald Clark, Arman Cohan, Jakob N. Foerster, Yarin Gal, Scott A. Hale, Inioluwa Deborah Raji, Christopher Summerfield, Philip H. S. Torr, Cozmin Ududec, Luc Rocher, Adam Mahdi

CoRR, November, 2025

Revisiting Multilingual Data Mixtures in Language Model Pretraining.

Negar Foroutan, Paul Teiletche, Ayush Kumar Tarun, Antoine Bosselut

CoRR, October, 2025

GaLLoP: Gradient-based Sparse Learning on Low-Magnitude Parameters.

Anand Choudhary, Yasser Sulaiman, Lukas Mauch, Ghouthi Boukli Hacene, Fabien Cardinaux, Antoine Bosselut

CoRR, October, 2025

PERK: Long-Context Reasoning as Parameter-Efficient Test-Time Learning.

Zeming Chen, Angelika Romanou, Gail Weiss, Antoine Bosselut

CoRR, July, 2025

ConLID: Supervised Contrastive Learning for Low-Resource Language Identification.

Negar Foroutan, Jakhongir Saydaliev, Ye Eun Kim, Antoine Bosselut

CoRR, June, 2025

Mixture of Cognitive Reasoners: Modular Reasoning with Brain-Like Specialization.

Badr AlKhamissi, C. Nicolò De Sabbata, Zeming Chen, Martin Schrimpf, Antoine Bosselut

CoRR, June, 2025

AbstRaL: Augmenting LLMs' Reasoning by Reinforcing Abstract Thinking.

Silin Gao, Antoine Bosselut, Samy Bengio, Emmanuel Abbe

CoRR, June, 2025

Positional Fragility in LLMs: How Offset Effects Reshape Our Understanding of Memorization Risks.

Yixuan Xu, Antoni-Joan Solergibert i Llaquet, Antoine Bosselut, Imanol Schlag

CoRR, May, 2025

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

CoRR, April, 2025

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

Int. J. Artif. Intell. Educ., March, 2025

DRIVINGVQA: Analyzing Visual Chain-of-Thought Reasoning of Vision Language Models in Real-World Scenarios with Driving Theory Tests.

Charles Corbière, Simon Roburin, Syrielle Montariol, Antoine Bosselut, Alexandre Alahi

CoRR, January, 2025

Positional Fragility in LLMs: How Offset Effects Reshape Our Understanding of Memorization Risks.

Yixuan Even Xu, Antoine Bosselut, Imanol Schlag

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

For Better or for Worse, Transformers Seek Patterns for Memorization.

Madhur Panwar, Gail Weiss, Navin Goyal, Antoine Bosselut

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

A Logical Fallacy-Informed Framework for Argument Generation.

Luca Mouchel, Debjit Paul, Shaobo Cui, Robert West, Antoine Bosselut, Boi Faltings

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

PICLe: Pseudo-annotations for In-Context Learning in Low-Resource Named Entity Detection.

Sepideh Mamooler, Syrielle Montariol, Alexander Mathis, Antoine Bosselut

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

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

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

The LLM Language Network: A Neuroscientific Approach for Identifying Causally Task-Relevant Units.

Badr AlKhamissi, Greta Tuckute, Antoine Bosselut, Martin Schrimpf

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

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, Mohamed A. Haggag, Imanol Schlag, Marzieh Fadaee, Sara Hooker, Antoine Bosselut, Snegha A, Alfonso Amayuelas, Azril Hafizi Amirudin, Viraat Aryabumi, Danylo Boiko, Michael Chang, Jenny Chim, Gal Cohen, Aditya Kumar Dalmia, Abraham Diress, Sharad Duwal, Daniil Dzenhaliou, Daniel Fernando Erazo Florez, Fabian Farestam, Joseph Marvin Imperial, Shayekh Bin Islam, Perttu Isotalo, Maral Jabbarishiviari, Börje F. Karlsson, Eldar Khalilov, Christopher Klamm, Fajri Koto, Dominik Krzeminski, Gabriel Adriano de Melo, Syrielle Montariol, Yiyang Nan, Joel Niklaus, Jekaterina Novikova, Johan Samir Obando-Ceron, Debjit Paul, Esther Ploeger, Jebish Purbey, Swati Rajwal, Selvan Sunitha Ravi, Sara Rydell, Roshan Santhosh, Drishti Sharma, Marjana Prifti Skenduli, Arshia Soltani Moakhar, Bardia Soltani Moakhar, Ran Tamir, Ayush Kumar Tarun, Azmine Toushik Wasi, Thenuka Ovin Weerasinghe, Serhan Yilmaz, Mike Zhang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

GeoExplorer: Active Geo-Localization with Curiosity-Driven Exploration.

Li Mi, Manon Béchaz, Zeming Chen, Antoine Bosselut, Devis Tuia

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Reliable Evaluation and Benchmarks for Statement Autoformalization.

Auguste Poiroux, Gail Weiss, Viktor Kuncak, Antoine Bosselut

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

RLMEval: Evaluating Research-Level Neural Theorem Proving.

Auguste Poiroux, Antoine Bosselut, Viktor Kuncak

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Creative Preference Optimization.

Mete Ismayilzada, Antonio Laverghetta Jr., Simone Luchini, Reet Patel, Antoine Bosselut, Lonneke van der Plas, Roger E. Beaty

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings.

Max Conti, Manuel Faysse, Gautier Viaud, Antoine Bosselut, Céline Hudelot, Pierre Colombo

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

CAVE : Detecting and Explaining Commonsense Anomalies in Visual Environments.

Rishika Bhagwatkar, Syrielle Montariol, Angelika Romanou, Beatriz Borges, Irina Rish, Antoine Bosselut

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

From Language to Cognition: How LLMs Outgrow the Human Language Network.

Badr AlKhamissi, Greta Tuckute, Yingtian Tang, Taha Osama A Binhuraib, Antoine Bosselut, Martin Schrimpf

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

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

Proceedings of the 31st International Conference on Computational Linguistics, 2025

Challenges for AI in Multimodal STEM Assessments: a Human-AI Comparison.

Aymeric de Chillaz, Anna Sotnikova, Patrick Jermann, Antoine Bosselut

Proceedings of the 20th Workshop on Innovative Use of NLP for Building Educational Applications, 2025

Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation.

Shivalika Singh, Angelika Romanou, Clémentine Fourrier, David Ifeoluwa Adelani, Jian Gang Ngui, Daniel Vila-Suero, Peerat Limkonchotiwat, Kelly Marchisio, Wei Qi Leong, Yosephine Susanto, Raymond Ng, Shayne Longpre, Sebastian Ruder, Wei-Yin Ko, Antoine Bosselut, Alice Oh, André F. T. Martins, Leshem Choshen, Daphne Ippolito, Enzo Ferrante, Marzieh Fadaee, Beyza Ermis, Sara Hooker

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation.

Shivalika Singh, Angelika Romanou, Clémentine Fourrier, David Ifeoluwa Adelani, Jian Gang Ngui, Daniel Vila-Suero, Peerat Limkonchotiwat, Kelly Marchisio, Wei Qi Leong, Yosephine Susanto, Raymond Ng, Shayne Longpre, Wei-Yin Ko, Madeline Smith, Antoine Bosselut, Alice Oh, André F. T. Martins, Leshem Choshen, Daphne Ippolito, Enzo Ferrante, Marzieh Fadaee, Beyza Ermis, Sara Hooker

CoRR, 2024

Creativity in AI: Progresses and Challenges.

Mete Ismayilzada, Debjit Paul, Antoine Bosselut, Lonneke van der Plas

CoRR, 2024

LLMs Are In-Context Reinforcement Learners.

Giovanni Monea, Antoine Bosselut, Kianté Brantley, Yoav Artzi

CoRR, 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, 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, Alberto Silvio Chiappa, Antonio Sclocchi, Étienne Bruno, Florian Hofhammer, Gabriel Pescia, Geovani Rizk, Leello Dadi, Lucas Stoffl, Manoel Horta Ribeiro, Matthieu Bovel, Yueyang Pan, 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, Philippe Schwaller, Sacha Friedli, Patrick Jermann, Tanja Käser, Antoine Bosselut

CoRR, 2024

Brain-Like Language Processing via a Shallow Untrained Multihead Attention Network.

Badr AlKhamissi, Greta Tuckute, Antoine Bosselut, Martin Schrimpf

CoRR, 2024

ComperDial: Commonsense Persona-grounded Dialogue Dataset and Benchmark.

Hiromi Wakaki, Yuki Mitsufuji, Yoshinori Maeda, Yukiko Nishimura, Silin Gao, Mengjie Zhao, Keiichi Yamada, Antoine Bosselut

CoRR, 2024

Improving Autoformalization using Type Checking.

Auguste Poiroux, Gail Weiss, Viktor Kuncak, Antoine Bosselut

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

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

Course Recommender Systems Need to Consider the Job Market.

Jibril Frej, Anna Dai, Syrielle Montariol, Antoine Bosselut, Tanja Käser

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Training Visual Language Models with Object Detection: Grounded Change Descriptions in Satellite Images.

João Luis Prado, Syrielle Montariol, Javiera Castillo-Navarro, Devis Tuia, Antoine Bosselut

Proceedings of the IGARSS 2024, 2024

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

Debjit Paul, Robert West, Antoine Bosselut, Boi Faltings

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

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

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

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

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

Beatriz Borges, Niket Tandon, Tanja Käser, Antoine Bosselut

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Discovering Knowledge-Critical Subnetworks in Pretrained Language Models.

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

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 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

Proceedings of the Computer Vision - ECCV 2024, 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

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, 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

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

EPFL-MAKE at "Discharge Me!": An LLM System for Automatically Generating Discharge Summaries of Clinical Electronic Health Record.

Haotian Wu, Paul Boulenger, Antonin Faure, Berta Céspedes, Farouk Boukil, Nastasia Morel, Zeming Chen, Antoine Bosselut

Proceedings of the 23rd Workshop on Biomedical Natural Language Processing, 2024

DiffuCOMET: Contextual Commonsense Knowledge Diffusion.

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

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Complex Reasoning over Logical Queries on Commonsense Knowledge Graphs.

Tianqing Fang, Zeming Chen, Yangqiu Song, Antoine Bosselut

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Exploring Defeasibility in Causal Reasoning.

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

Proceedings of the Findings 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

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 E. 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

2015

Thermo-mechanical effects in drilling using metal working fluids and cryogenic cooling and their impact in tool performance.

José C. Outeiro, Pierrick Lenoir, Antoine Bosselut

Prod. Eng., 2015