Please see my Google Scholar for an up-to-date list of publications.
Highlighted Recent Works
APERTUS: Democratizing Open and Compliant LLMs for Global Language Environments
Alejandro Hernández-Cano, Alexander Hägele, Allen Hao Huang, Angelika Romanou, Antoni-Joan Solergibert, Barna Pasztor, Bettina Messmer, Dhia Garbaya, Eduard Frank Ďurech, Ido Hakimi, Juan García Giraldo, Mete Ismayilzada, Negar Foroutan, Skander Moalla, Tiancheng Chen, Vinko Sabolčec, Yixuan Xu, Michael Aerni, Badr AlKhamissi, Ines Altemir Marinas, Mohammad Hossein Amani, Matin Ansaripour, Ilia Badanin, Harold Benoit, Emanuela Boros, Nicholas Browning, Fabian Bösch, Maximilian Böther, Niklas Canova, Camille Challier, Clement Charmillot, Jonathan Coles, Jan Deriu, Arnout Devos, Lukas Drescher, Daniil Dzenhaliou, Maud Ehrmann, Dongyang Fan, Simin Fan, Silin Gao, Miguel Gila, María Grandury, Diba Hashemi, Alexander Hoyle, Jiaming Jiang, Mark Klein, Andrei Kucharavy, Anastasiia Kucherenko, Frederike Lübeck, Roman Machacek, Theofilos Manitaras, Andreas Marfurt, Kyle Matoba, Simon Matrenok, Henrique Mendoncça, 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, Javi Rando, Mathieu Sauser, Jakhongir Saydaliev, Muhammad Ali 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 Schulthess, Torsten Hoefler, Antoine Bosselut†, Martin Jaggi†, Imanol Schlag†
arXiv
- Featured in: Financial Times, RTS, SRF 1, RSI LA 1, Le Temps, 24 Heures, NZZ, The Verge, Engadget, TeleTicino, Blick, SwissInfo, ICT Journal
INCLUDE: Evaluating Multilingual Language Understanding with Regional Knowledge
Angelika Romanou, Negar Foroutan*, Anna Sotnikova*, Sree Harsha Nelaturu, Shivalika Singh, Rishabh Maheshwary, Micol Altomare, Zeming Chen, Snegha A, Alfonso Amayuelas, Azril Hafizi Amirudin, Danylo Boiko, Michael Chang, Jenny Chim, Gal Cohen, Aditya Kumar Dalmia, Abraham Diress, Sharad Duwal, Daniil Dzenhaliou, Daniel Fernando Erazo Florez, Fabian Farestam, Mohamed A. Haggag, 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, Ayush Kumar Tarun, Azmine Toushik Wasi, Thenuka Ovin Weerasinghe, Serhan Yilmaz, Mike Zhang, Imanol Schlag, Marzieh Fadaee, Sara Hooker, Antoine Bosselut
ICLR 2025
A Logical Fallacy-Informed Framework for Argument Generation
Luca Mouchel, Debjit Paul, Shaobo Cui, Robert West, Antoine Bosselut, Boi Faltings
NAACL 2025
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 Kaser, Antoine Bosselut, EPFL Grader Consortium, EPFL Data Consortium
Proceedings of the National Academy of Sciences (PNAS)
- Featured in: Le Temps, 20 Minutes, Radio Fréquence Jura, Radio France
MEDITRON-70B: Scaling Medical Pretraining for Large Language Models
Zeming Chen, Alejandro Hernández Cano*, Angelika Romanou*, Antoine Bonnet*, Kyle Matoba*, Francesco Salvi, Syrielle Montariol, Matteo Pagliardini, Simin Fan, Andreas Köpf, Amirkeivan Mohtashami, Alexandre Sallinen, Alireza Sakhaeirad, Vinitra Swamy, Igor Krawczuk, Deniz Bayazit, Axel Marmet, Mary-Anne Hartley†, Martin Jaggi†, Antoine Bosselut†
arXiv
- Featured in: TechXplore, ICTJournal, RTS CQFD, L’AGEFI, GGB, AI Index
PeaCoK: Persona CommonsenseKnowledge for Consistent and Engaging Narratives
Silin Gao, Beatriz Borges, Soyoung Oh, Deniz Bayazit, Saya Kanno, Hiromi Wakaki, Yuki Mitsufuji, Antoine Bosselut
ACL 2023
Recent Preprints
Crosscoding Through Time: Tracking Emergence & Consolidation Of Linguistic Representations Throughout LLM Pretraining
Deniz Bayazit, Aaron Mueller, Antoine Bosselut
arXiv
Parity-Aware Byte-Pair Encoding: Improving Crosslingual Fairness in Tokenization
Negar Foroutan, Clara Meister, Debjit Paul, Joel Niklaus, Sina Ahmadi, Antoine Bosselut†, Rico Sennrich†
arXiv
PERK: Long-Context Reasoning as Parameter-Efficient Test-Time Learning
Zeming Chen, Angelika Romanou, Gail Weiss, Antoine Bosselut
arXiv
ConLID: Supervised Contrastive Learning for Low-Resource Language ID
Negar Foroutan, Jakhongir Saydaliev, Ye Eun Kim, Antoine Bosselut
arXiv
Mixture of Cognitive Reasoners: Modular Reasoning with Brain Like Specialization
Badr Alkhamissi, C. Nicolo de Sabbata, Zeming Chen, Martin Schrimpf†, Antoine Bosselut†
arXiv
AbstRaL: Augmenting LLMs’ Reasoning by Reinforcing Abstract Thinking
Silin Gao, Antoine Bosselut, Samy Bengio, Emmanuel Abbé
arXiv
DrivingVQA: Retrieval-Based Interleaved Visual Chain-of-Thought in Real-World Driving Scenarios
Charles Corbière*, Simon Roburin*, Syrielle Montariol*, Antoine Bosselut, Alexandre Alahi
arXiv
Creativity in AI: Progresses and Challenges
Mete Ismayilzada, Debjit Paul, Antoine Bosselut, Lonneke van der Plas
arXiv
Rational Metareasoning for Large Language Models
C. Nicolo De Sabbata, Theodore R. Sumers, Badr AlKhamissi, Antoine Bosselut, Thomas L. Griffiths
arXiv
Publications
For Better or for Worse, Transformers Seek Patterns for Memorization
Madhur Panwar, Gail Weiss, Navin Goyal, Antoine Bosselut
NeurIPS 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
NeurIPS 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 Nicolaus Foerster, Yarin Gal, Scott A. Hale, Inioluwa Deborah Raji, Christopher Summerfield, Philip Torr, Cozmin Ududec, Luc Rocher, Adam Mahdi
NeurIPS 2025
CAVE: Detecting and Explaining Commonsense Anomalies in Visual Environments
Rishika Bhagwatkar, Syrielle Montariol, Angelika Romanou, Beatriz Borges, Irina Rish, Antoine Bosselut
EMNLP 2025
Reliable Evaluation and Benchmarks for Statement Autoformalization
Auguste Poiroux, Gail Weiss, Viktor Kunčak, Antoine Bosselut
EMNLP 2025
From Language to Cognition: How LLMs Outgrow the Human Language Network
Badr AlKhamissi, Greta Tuckute, Yingtian Tang, Taha Binhuraib, Antoine Bosselut†, Martin Schrimpf†
EMNLP 2025
Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings
Max Conti, Manuel Faysse, Gautier Viaud, Antoine Bosselut, Celine Hudelot, Pierre Colombo
EMNLP 2025
RLMEval: Evaluating Research-Level Neural Theorem Proving
Auguste Poiroux, Antoine Bosselut, Viktor Kunčak
Findings of EMNLP 2025
Creative Preference Optimization
Mete Ismayilzada, Antonio Laverghetta Jr., Simone A. Luchini, Reet Patel, Antoine Bosselut, Lonneke van der Plas, Roger Beaty
Findings of EMNLP 2025
Can Performant LLMs Be Ethical? Quantifying the Impact of Web Crawling Opt-Outs
Dongyang Fan, Vinko Sabolčec, Matin Ansaripour, Ayush Kumar Tarun, Imanol Schlag†, Antoine Bosselut†, Martin Jaggi†
COLM 2025
LLMs Are In-Context Bandit Reinforcement Learners
Giovanni Monea, Antoine Bosselut, Kianté Brantley, Yoav Artzi
COLM 2025
GeoExplorer: Active Geo-localization with Curiosity-Driven Exploration
Li Mi, Manon Béchaz, Zeming Chen, Antoine Bosselut, Devis Tuia
ICCV 2025
Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation
Shivalika Singh, Angelika Romanou, Clémentine Fourrier, David I. 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, Andre F. T. Martins, Leshem Choshen, Daphne Ippolito, Enzo Ferrante, Marzieh Fadaee, Beyza Ermis, Sara Hooker
ACL 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
CVPR 2025
PICLe: Pseudo-Annotation for In-context Learning in Low-Resource Named Entity Detection
Sepideh Mamooler, Syrielle Montariol, Alexander Mathis†, Antoine Bosselut†
NAACL 2025
The LLM Language Network: Neuroscientific Approach for Identifying Causally Important Units
Badr AlKhamissi, Greta Tuckute, Antoine Bosselut†, Martin Schrimpf†
NAACL 2025
Evaluating Morphological Compositional Generalization in Large Language Models
Mete Ismayilzada, Defne Circi, Jonne Sälevä, Hale Sirin, Abdullatif Köksal, Bhuwan Dhingra, Antoine Bosselut, Lonneke van der Plas and Duygu Ataman
NAACL 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†
COLING 2025
Discovering Knowledge-Critical Subnetworks in Pretrained Language Models
Deniz Bayazit, Negar Foroutan, Zeming Chen, Gail Weiss, Antoine Bosselut
EMNLP 2024
Let Me Teach You: Pedagogical Foundations of Feedback for Language Models
Beatriz Borges, Niket Tandon, Tanja Käser, Antoine Bosselut
EMNLP 2024
“Flex Tape Can’t Fix That”: Bias and Misinformation in Edited Language Models
Karina H Halevy, Anna Sotnikova, Badr AlKhamissi, Syrielle Montariol, Antoine Bosselut
EMNLP 2024
Making Reasoning Matter: Measuring and Improving Faithfulness of Chain-of-Thought Reasoning
Debjit Paul, Robert West, Antoine Bosselut, Boi Faltings
EMNLP Findings 2024
Instruction-tuning Aligns LLMs to the Human Brain
Khai Loong Aw, Syrielle Montariol, Badr AlKhamissi, Martin Schrimpf†, Antoine Bosselut†
COLM 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
ECCV 2024
DiffuCOMET: Contextual Commonsense Knowledge Diffusion
Silin Gao, Mete Ismayilzada, Mengjie Zhao, Hiromi Wakaki, Yuki Mitsufiji, Antoine Bosselut
ACL 2024
Complex Reasoning over Logical Queries on Commonsense Knowledge Graphs
Tianqing Fang, Zeming Chen, Yangqiu Song, Antoine Bosselut
ACL 2024
δ-Causal: Exploring Defeasibility in Causal Reasoning
Shaobo Cui, Lazar Milikic, Yiyang Feng, Mete Ismayilzada, Debjit Paul, Antoine Bosselut, Boi Faltings
ACL Findings 2024
Course Recommender Systems Need to Consider the Job Market
Jibril Frej, Anna Dai, Syrielle Montariol, Antoine Bosselut, Tanja Käser
SIGIR 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 Rho, Zejiang Shen, Pao Siangliulue
CHI 2024
REFINER: Reasoning Feedback on Intermediate Representations
Debjit Paul, Mete Ismayilzada, Maxime Peyrard, Beatriz Borges, Antoine Bosselut, Robert West, Boi Faltings
EACL 2024
ConVQG: Contrastive Visual Question Generation with Multimodal Guidance
Li Mi, Syrielle Montariol, Javiera Castillo Navarro, Xianjie Dai, Antoine Bosselut, Devis Tuia
AAAI 2024
EPFL-MAKE at “Discharge Me!”: An LLM System for Automatically Generating Discharge Summaries of Clinical Electronic Health Records
Haotian Wu, Paul Boulenger, Antonin Faure, Berta Céspedes, Farouk Boukil, Nastasia Morel, Zeming Chen, Antoine Bosselut
BioNLP 2024
JobSkape: A Framework for Generating Synthetic Job Postings to Enhance Skill Matching
Antoine Magron*, Anna Dai*, Mike Zhang, Syrielle Montariol, Antoine Bosselut
NLP4HR 2024
Re-thinking Skill Extraction in the Job Market Domain using Large Language Models
Khanh Cao Nguyen, Mike Zhang, Syrielle Montariol, Antoine Bosselut
NLP4HR 2024
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
International Journal of Artificial Intelligence in Education, 2024
RECKONING: Reasoning through Dynamic Knowledge Encoding
Zeming Chen, Gail Weiss, Eric Mitchell, Asli Celikyilmaz, Antoine Bosselut
NeurIPS 2023
CRoW: Benchmarking Commonsense Reasoning in Real-World Tasks
Mete Ismayilzada, Debjit Paul, Syrielle Montariol, Mor Geva, Antoine Bosselut
EMNLP 2023
CRAB: Assessing the Strength of Causal Relationships Between Real-world Events
Angelika Romanou, Syrielle Montariol, Debjit Paul, Leo Laugier, Karl Aberer, Antoine Bosselut
EMNLP 2023
– LLM-CP workshop, AAAI 2024 (Spotlight Paper)
Towards a Mechanistic Interpretationof Procedural Reasoning Capabilities of Language Models
Yifan Hou, Jiaoda Li, Yu Fei, Alessandro Stolfo, Wangchunshu Zhou, Guangtao Zeng, Antoine Bosselut, Mrinmaya Sachan
EMNLP 2023
Breaking the Language Barrier: Improving Cross-Lingual Reasoning with Structured Self-Attention
Negar Foroutan, Mohammadreza Banaei, Karl Aberer, Antoine Bosselut
EMNLP Findings 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
EMNLP Findings 2023
Mitigating Label Biases for In-context Learning
Yu Fei, Yifan Hou, Zeming Chen, Antoine Bosselut
ACL 2023
DISCO: Distilling Phrasal Counterfactuals with Large Language Models
Zeming Chen, Qiyue Gao, Kyle Richardson, Antoine Bosselut, Ashish Sabharwal
ACL 2023
Kogito: A Commonsense Knowledge Inference Toolkit
Mete Ismayilzada, Antoine Bosselut
EACL 2023 - Systems Demonstrations
Discovering Language-neutral Sub-networks in Multilingual Language Models
Negar Foroutan, Mohammadreza Banaei, Remi Lebret, Antoine Bosselut, Karl Aberer
EMNLP 2022
Conditional set generation using Seq2seq models
Aman Madaan, Dheeraj Rajagopal, Niket Tandon, Yiming Yang, Antoine Bosselut
EMNLP 2022
ComFact: A Benchmark for Linking Contextual Commonsense Knowledge
Silin Gao, Jena Hwang, Saya Kanno, Hiromi Wakaki, Yukhi Mitsufiji, Antoine Bosselut
EMNLP Findings 2022
Deep Bidirectional Language-Knowledge Pretraining
Michihiro Yasunaga, Antoine Bosselut, Hongyu Ren, Xikun Zhang, Christopher D. Manning, Percy Liang, Jure Leskovec
NeurIPS 2022
Memory-Based Model Editing at Scale
Eric Mitchell, Charles Lin, Antoine Bosselut, Christopher D. Manning, Chelsea Finn
ICML 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
ICLR 2022
Fast Model Editing at Scale
Eric Mitchell, Charles Lin, Antoine Bosselut, Chelsea Finn, Christopher D. Manning
ICLR 2022
Synthetic Disinformation Attacks on Automated Fact Verification Systems
Yibing Du*, Antoine Bosselut*, Christopher D. Manning
AAAI 2022
End-to-End Task-Oriented Dialog Modeling with Semi-Structured Knowledge Management
Silin Gao, Ryuichi Takanobu, Antoine Bosselut, Minlie Huang
Transactions on Audio, Speech and Language Processing (TASLP), 2022
Analyzing Commonsense Emergence in Few-shot Knowledge Models
Jeff Da, Ronan Le Bras, Ximing Lu, Yejin Choi, Antoine Bosselut
AKBC 2021
Conversational Multi-hop Reasoning with Neural Commonsense Knowledge and Symbolic Logic Rules
Forough Arabshahi*, Jennifer Lee*, Antoine Bosselut, Yejin Choi, Tom Mitchell
EMNLP 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
ACL Findings 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
ACL 2021
QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering
Michihiro Yasunaga, Hongyu Ren, Antoine Bosselut, Percy Liang, Jure Leskovec
NAACL 2021
I’m Not Mad: Commonsense Implications of Negation and Contradiction
Liwei Jiang, Antoine Bosselut, Chandra Bhagavatula, Yejin Choi
NAACL 2021
Discourse Understanding and Factual Consistency in Abstractive Summarization
Saadia Gabriel, Antoine Bosselut, Ari Holtzman, Jeff Da, Jan Buys, Kyle Lo, Asli Celikyilmaz, Yejin Choi
EACL 2021
(Comet-)Atomic2020: On Symbolic and Neural Commonsense Knowledge Graphs
Jena D. Hwang*, Chandra Bhagavatula*, Ronan Le Bras, Jeff Da, Keisuke Sakaguchi, Antoine Bosselut, Yejin Choi
AAAI 2021
Dynamic Neuro-Symbolic Knowledge Graph Construction for Zero-shot Commonsense Question Answering
Antoine Bosselut, Ronan Le Bras, Yejin Choi
AAAI 2021
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
EMNLP 2020
Procedural Reading Comprehension with Attribute-Aware Context Flow
Aida Amini, Antoine Bosselut, Bhavana Dalvi, Yejin Choi, Hannaneh Hajishirzi
AKBC 2020
Commonsense Knowledge Base Completion with Structural and Semantic Context
Chaitanya Malaviya, Chandra Bhagavatula, Antoine Bosselut, Yejin Choi
AAAI 2020
Counterfactual Story Reasoning and Generation
Lianhui Qin, Antoine Bosselut, Ari Holtzman, Chandra Bhagavatula, Elizabeth Clark, Yejin Choi
EMNLP 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
EMNLP 2019
WIQA: A Dataset For ”What if…” Reasoning over Procedural Text
Niket Tandon*, Bhavana Dalvi*, Keisuke Sakaguchi, Antoine Bosselut, Peter Clark
EMNLP 2019
COMET: Commonsense Transformers for Automatic Knowledge Graph Construction
Antoine Bosselut, Hannah Rashkin, Maarten Sap, Chaitanya Malaviya, Asli Celikyilmaz, Yejin Choi
ACL 2019
- Featured in: Quanta Magazine, The Atlantic, Communications of ACM, Le Scienze
Be Consistent! Improving Procedural Text Comprehension using Label Consistency
Xinya Du, Bhavana Dalvi, Niket Tandon, Antoine Bosselut, Wen-tau Yih, Peter Clark, Claire Cardie
NAACL 2019
Reasoning about Actions and State Changes by Injecting Commonsense Knowledge
Niket Tandon*, Bhavana Dalvi*, Joel Grus, Wen-tau Yih, Antoine Bosselut, Peter Clark
EMNLP 2018
Modeling Naive Psychology of Characters in Simple Commonsense Stories
Hannah Rashkin, Antoine Bosselut, Maarten Sap, Kevin Knight, Yejin Choi
ACL 2018
Learning to Write with Cooperative Discriminators
Ari Holtzman, Jan Buys, Maxwell Forbes, Antoine Bosselut, David Golub, Yejin Choi
ACL 2018
Discourse-aware Neural Rewards for Coherent Text Generation
Antoine Bosselut, Asli Celikyilmaz, Xiaodong He, Jianfeng Gao, Po-sen Huang, Yejin Choi
NAACL 2018
Deep Communicating Agents for Abstractive Summarization
Asli Celikyilmaz, Antoine Bosselut, Xiaodong He, Yejin Choi
NAACL 2018
Simulating Action Dynamics with Neural Process Networks
Antoine Bosselut, Omer Levy, Ari Holtzman, Corin Ennis, Dieter Fox, Yejin Choi
ICLR 2018
Learning Prototypical Event Structure from Photo Albums
Antoine Bosselut, Jianfu Chen, David Warren, Hannaneh Hajishirzi, Yejin Choi
ACL 2016
Technical Reports
Large Language Models are Catalyzing Chemistry Education
Yuanqi Du*, Chenru Duan*, Andres M. Bran*, Anna Sotnikova, Yi Qu, Heather Kulik, Antoine Bosselut, Jinjia Xu, Philippe Schwaller
ChemRxiv
ComperDial: Commonsense Persona-grounded Dialogue Dataset and Benchmark
Hiromi Wakaki*, Yuki Mitsufuji*, Yoshinori Maeda, Yukiko Nishimura, Silin Gao, Mengjie Zhao, Keiichi Yamada, Antoine Bosselut
arXiv
Evaluating Language Model Agency through Negotiations
Tim R. Davidson, Veniamin Veselovsky, Martin Josifoski, Maxime Peyrard, Antoine Bosselut, Michal Kosinski, Robert West
arXiv
On the Opportunities and Risks of Foundation Models
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 Koh, 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
arXiv
- Featured in: VentureBeat, Fast Company, Axios, Communications of ACM
Efficient Adaptation of Pretrained Transformers for Summarization
Andrew Hoang, Antoine Bosselut, Asli Celikyilmaz, Yejin Choi
arXiv
