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)

Learning Prototypical Event Structure from Photo Albums. - Antoine Bosselut; Jianfu Chen; David Scott Warren; Hannaneh Hajishirzi; Yejin Choi 001 (ACL (1), 2016)

Learning to Write with Cooperative Discriminators. - Ari Holtzman; Jan Buys; Maxwell Forbes; Antoine Bosselut; David Golub; Yejin Choi 001 (ACL (1), 2018)

Modeling Naive Psychology of Characters in Simple Commonsense Stories. - Hannah Rashkin; Antoine Bosselut; Maarten Sap; Kevin Knight; Yejin Choi 001 (ACL (1), 2018)

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)

Simulating Action Dynamics with Neural Process Networks. - Antoine Bosselut; Omer Levy; Ari Holtzman; Corin Ennis; Dieter Fox; Yejin Choi 001 (ICLR (Poster), 2018)

Discourse-Aware Neural Rewards for Coherent Text Generation. - Antoine Bosselut; Asli Celikyilmaz; Xiaodong He 001; Jianfeng Gao 001; Po-Sen Huang; Yejin Choi 001 (NAACL-HLT, 2018)

Deep Communicating Agents for Abstractive Summarization. - Asli Celikyilmaz; Antoine Bosselut; Xiaodong He 001; Yejin Choi 001 (NAACL-HLT, 2018)

COMET: Commonsense Transformers for Automatic Knowledge Graph Construction. - Antoine Bosselut; Hannah Rashkin; Maarten Sap; Chaitanya Malaviya; Asli Celikyilmaz; Yejin Choi 001 (ACL (1), 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/IJCNLP (1), 2019)

Counterfactual Story Reasoning and Generation. - Lianhui Qin; Antoine Bosselut; Ari Holtzman; Chandra Bhagavatula; Elizabeth Clark; Yejin Choi 001 (EMNLP/IJCNLP (1), 2019)

WIQA: A dataset for "What if..." reasoning over procedural text. - Niket Tandon; Bhavana Dalvi; Keisuke Sakaguchi; Peter Clark; Antoine Bosselut (EMNLP/IJCNLP (1), 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 (NAACL-HLT (1), 2019)

Efficient Adaptation of Pretrained Transformers for Abstractive Summarization. - Andrew Hoang; Antoine Bosselut; Asli Celikyilmaz; Yejin Choi 001 (CoRR, 2019)

Cooperative Generator-Discriminator Networks for Abstractive Summarization with Narrative Flow. - Saadia Gabriel; Antoine Bosselut; Ari Holtzman; Kyle Lo; Asli Celikyilmaz; Yejin Choi 001 (CoRR, 2019)

Exploiting Structural and Semantic Context for Commonsense Knowledge Base Completion. - Chaitanya Malaviya; Chandra Bhagavatula; Antoine Bosselut; Yejin Choi 001 (CoRR, 2019)

Dynamic Knowledge Graph Construction for Zero-shot Commonsense Question Answering. - Antoine Bosselut; Yejin Choi 001 (CoRR, 2019)

Commonsense Knowledge Base Completion with Structural and Semantic Context. - Chaitanya Malaviya; Chandra Bhagavatula; Antoine Bosselut; Yejin Choi 001 (AAAI, 2020)

Commonsense Reasoning for Natural Language Processing. - Maarten Sap; Vered Shwartz; Antoine Bosselut; Yejin Choi 001; Dan Roth 001 (ACL (tutorial), 2020)

Procedural Reading Comprehension with Attribute-Aware Context Flow. - Aida Amini; Antoine Bosselut; Bhavana Dalvi Mishra; Yejin Choi 001; Hannaneh Hajishirzi (AKBC, 2020)

The Amazing World of Neural Language Generation. - Yangfeng Ji; Antoine Bosselut; Thomas Wolf 008; Asli Celikyilmaz (EMNLP (Tutorial Abstracts), 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 001; Antoine Bosselut; Yejin Choi 001 (EMNLP (1), 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 001 (CoRR, 2020)

Understanding Natural Language with Commonsense Knowledge Representation, Reasoning, and Simulation. - Antoine Bosselut (2020)

Dynamic Neuro-Symbolic Knowledge Graph Construction for Zero-shot Commonsense Question Answering. - Antoine Bosselut; Ronan Le Bras 001; Yejin Choi 001 (AAAI, 2021)

(Comet-) Atomic 2020: On Symbolic and Neural Commonsense Knowledge Graphs. - Jena D. Hwang; Chandra Bhagavatula; Ronan Le Bras 001; Jeff Da; Keisuke Sakaguchi; Antoine Bosselut; Yejin Choi 001 (AAAI, 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 001 (ACL/IJCNLP (1), 2021)

On-the-Fly Attention Modulation for Neural Generation. - Yue Dong 002; Chandra Bhagavatula; Ximing Lu; Jena D. Hwang; Antoine Bosselut; Jackie Chi Kit Cheung; Yejin Choi 001 (ACL/IJCNLP (Findings), 2021)

Analyzing Commonsense Emergence in Few-shot Knowledge Models. - Jeff Da; Ronan Le Bras 001; Ximing Lu; Yejin Choi 001; Antoine Bosselut (AKBC, 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 001 (EACL, 2021)

Conversational Multi-Hop Reasoning with Neural Commonsense Knowledge and Symbolic Logic Rules. - Forough Arabshahi; Jennifer Lee; Antoine Bosselut; Yejin Choi 001; Tom M. Mitchell (EMNLP (1), 2021)

"I'm Not Mad": Commonsense Implications of Negation and Contradiction. - Liwei Jiang; Antoine Bosselut; Chandra Bhagavatula; Yejin Choi 001 (NAACL-HLT, 2021)

QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering. - Michihiro Yasunaga; Hongyu Ren; Antoine Bosselut; Percy Liang; Jure Leskovec (NAACL-HLT, 2021)

Understanding Few-Shot Commonsense Knowledge Models. - Jeff Da; Ronan Le Bras 001; Ximing Lu; Yejin Choi 001; Antoine Bosselut (CoRR, 2021)

On-the-Fly Attention Modularization for Neural Generation. - Yue Dong 002; Chandra Bhagavatula; Ximing Lu; Jena D. Hwang; Antoine Bosselut; Jackie Chi Kit Cheung; Yejin Choi 001 (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 001; Kaustubh D. Dhole; Wanyu Du; Esin Durmus; et al. (CoRR, 2021)

On the Opportunities and Risks of Foundation Models. - Rishi Bommasani; Drew A. Hudson; Ehsan Adeli 001; Russ B. Altman; Simran Arora; Sydney von Arx; Michael S. Bernstein; Jeannette Bohg; Antoine Bosselut; Emma Brunskill; Erik Brynjolfsson; Shyamal Buch; et al. (CoRR, 2021)

Synthetic Disinformation Attacks on Automated Fact Verification Systems. - Yibing Du; Antoine Bosselut; Christopher D. Manning (AAAI, 2022)

Discovering Language-neutral Sub-networks in Multilingual Language Models. - Negar Foroutan; Mohammadreza Banaei; Rémi Lebret; Antoine Bosselut; Karl Aberer (EMNLP, 2022)

ComFact: A Benchmark for Linking Contextual Commonsense Knowledge. - Silin Gao; Jena D. Hwang; Saya Kanno; Hiromi Wakaki; Yuki Mitsufuji; Antoine Bosselut (EMNLP (Findings), 2022)

Conditional set generation using Seq2seq models. - Aman Madaan; Dheeraj Rajagopal; Niket Tandon; Yiming Yang; Antoine Bosselut (EMNLP, 2022)

GreaseLM: Graph REASoning Enhanced Language Models. - Xikun Zhang 001; 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)

Memory-Based Model Editing at Scale. - Eric Mitchell; Charles Lin; Antoine Bosselut; Christopher D. Manning; Chelsea Finn (ICML, 2022)

Deep Bidirectional Language-Knowledge Graph Pretraining. - Michihiro Yasunaga; Antoine Bosselut; Hongyu Ren; Xikun Zhang 001; Christopher D. Manning; Percy Liang; Jure Leskovec (NeurIPS, 2022)

GreaseLM: Graph REASoning Enhanced Language Models for Question Answering. - Xikun Zhang 001; Antoine Bosselut; Michihiro Yasunaga; Hongyu Ren; Percy Liang; Christopher D. Manning; Jure Leskovec (CoRR, 2022)

DISCO: Distilling Phrasal Counterfactuals with Large Language Models. - Zeming Chen 001; Qiyue Gao; Kyle Richardson 001; Antoine Bosselut; Ashish Sabharwal (CoRR, 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 Counterfactuals with Large Language Models. - Zeming Chen 001; Qiyue Gao; Antoine Bosselut; Ashish Sabharwal; Kyle Richardson 001 (ACL (1), 2023)

Mitigating Label Biases for In-context Learning. - Yu Fei; Yifan Hou; Zeming Chen 001; Antoine Bosselut (ACL (1), 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 (ACL (1), 2023)

kogito: A Commonsense Knowledge Inference Toolkit. - Mete Ismayilzada; Antoine Bosselut (EACL (System Demonstrations), 2023)

Breaking the Language Barrier: Improving Cross-Lingual Reasoning with Structured Self-Attention. - Negar Foroutan; Mohammadreza Banaei; Karl Aberer; Antoine Bosselut (EMNLP (Findings), 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 (EMNLP, 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; Léo Laugier; Karl Aberer; Antoine Bosselut (EMNLP, 2023)

CAR: Conceptualization-Augmented Reasoner for Zero-Shot Commonsense Question Answering. - Weiqi Wang 001; Tianqing Fang; Wenxuan Ding 001; Baixuan Xu; Xin Liu 039; Yangqiu Song; Antoine Bosselut (EMNLP (Findings), 2023)

RECKONING: Reasoning through Dynamic Knowledge Encoding. - Zeming Chen 001; Gail Weiss; Eric Mitchell; Asli Celikyilmaz; Antoine Bosselut (NeurIPS, 2023)

MEDITRON-70B: Scaling Medical Pretraining for Large Language Models. - Zeming Chen 001; Alejandro Hernández-Cano; Angelika Romanou; Antoine Bonnet; Kyle Matoba; Francesco Salvi; Matteo Pagliardini; Simin Fan; Andreas Köpf; Amirkeivan Mohtashami; Alexandre Sallinen; Alireza Sakhaeirad; et al. (CoRR, 2023)

Instruction-tuning Aligns LLMs to the Human Brain. - Khai Loong Aw; Syrielle Montariol; Badr AlKhamissi; Martin Schrimpf; Antoine Bosselut (CoRR, 2023)

ConVQG: Contrastive Visual Question Generation with Multimodal Guidance. - Li Mi; Syrielle Montariol; Javiera Castillo Navarro; Xianjie Dai; Antoine Bosselut; Devis Tuia (AAAI, 2024)

Exploring Defeasibility in Causal Reasoning. - Shaobo Cui 006; Lazar Milikic; Yiyang Feng; Mete Ismayilzada; Debjit Paul; Antoine Bosselut; Boi Faltings (ACL (Findings), 2024)

Complex Reasoning over Logical Queries on Commonsense Knowledge Graphs. - Tianqing Fang; Zeming Chen 001; Yangqiu Song; Antoine Bosselut (ACL (1), 2024)

DiffuCOMET: Contextual Commonsense Knowledge Diffusion. - Silin Gao; Mete Ismayilzada; Mengjie Zhao; Hiromi Wakaki; Yuki Mitsufuji; Antoine Bosselut (ACL (1), 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 001; Antoine Bosselut (BioNLP@ACL, 2024)

A Design Space for Intelligent and Interactive Writing Assistants. - Mina Lee 002; Katy Ilonka Gero; John Joon Young Chung; Simon Buckingham Shum; Vipul Raheja; Hua Shen 005; Subhashini Venugopalan; Thiemo Wambsganss; David Zhou; Emad A. Alghamdi; Tal August; Avinash Bhat; et al. (CHI, 2024)

REFINER: Reasoning Feedback on Intermediate Representations. - Debjit Paul; Mete Ismayilzada; Maxime Peyrard; Beatriz Borges; Antoine Bosselut; Robert West 001; Boi Faltings (EACL (1), 2024)

ConGeo: Robust Cross-View Geo-Localization Across Ground View Variations. - Li Mi; Chang Xu; Javiera Castillo-Navarro; Syrielle Montariol; Wen Yang 001; Antoine Bosselut; Devis Tuia (ECCV (14), 2024)

Discovering Knowledge-Critical Subnetworks in Pretrained Language Models. - Deniz Bayazit; Negar Foroutan; Zeming Chen 001; 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 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 001; Antoine Bosselut; Boi Faltings (EMNLP (Findings), 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 (IGARSS, 2024)

Course Recommender Systems Need to Consider the Job Market. - Jibril Frej; Anna Dai; Syrielle Montariol; Antoine Bosselut; Tanja Käser (SIGIR, 2024)

δ-CAUSAL: Exploring Defeasibility in Causal Reasoning. - Shaobo Cui 006; Lazar Milikic; Yiyang Feng; Mete Ismayilzada; Debjit Paul; Antoine Bosselut; Boi Faltings (CoRR, 2024)

Evaluating Language Model Agency through Negotiations. - Tim R. Davidson; Veniamin Veselovsky; Martin Josifoski; Maxime Peyrard; Antoine Bosselut; Michal Kosinski; Robert West 001 (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)

Rethinking Skill Extraction in the Job Market Domain using Large Language Models. - Khanh Cao Nguyen; Mike Zhang; Syrielle Montariol; Antoine Bosselut (CoRR, 2024)

Improving Autoformalization using Type Checking. - Auguste Poiroux; Gail Weiss; Viktor Kuncak; Antoine Bosselut (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)

Brain-Like Language Processing via a Shallow Untrained Multihead Attention Network. - Badr AlKhamissi; Greta Tuckute; Antoine Bosselut; Martin Schrimpf (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; et al. (CoRR, 2024)

LLMs Are In-Context Reinforcement Learners. - Giovanni Monea; Antoine Bosselut; Kianté Brantley; Yoav Artzi (CoRR, 2024)

Creativity in AI: Progresses and Challenges. - Mete Ismayilzada; Debjit Paul; Antoine Bosselut; Lonneke van der Plas (CoRR, 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; et al. (CoRR, 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; et al. (ACL (1), 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)

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)

INCLUDE: Evaluating Multilingual Language Understanding with Regional Knowledge. - Angelika Romanou; Negar Foroutan; Anna Sotnikova; Zeming Chen 001; Sree Harsha Nelaturu; Shivalika Singh; Rishabh Maheshwary; Micol Altomare; Mohamed A. Haggag; Imanol Schlag; Marzieh Fadaee; Sara Hooker; et al. (ICLR, 2025)

The LLM Language Network: A Neuroscientific Approach for Identifying Causally Task-Relevant Units. - Badr AlKhamissi; Greta Tuckute; Antoine Bosselut; Martin Schrimpf (NAACL (Long Papers), 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 (NAACL (Long Papers), 2025)

PICLe: Pseudo-annotations for In-Context Learning in Low-Resource Named Entity Detection. - Sepideh Mamooler; Syrielle Montariol; Alexander Mathis; Antoine Bosselut (NAACL (Long Papers), 2025)

A Logical Fallacy-Informed Framework for Argument Generation. - Luca Mouchel; Debjit Paul; Shaobo Cui 006; Robert West 001; Antoine Bosselut; Boi Faltings (NAACL (Long Papers), 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, 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., 2025)

From Language to Cognition: How LLMs Outgrow the Human Language Network. - Badr AlKhamissi; Greta Tuckute; Yingtian Tang; Taha Binhuraib; Antoine Bosselut; Martin Schrimpf (CoRR, 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, 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, 2025)

Creative Preference Optimization. - Mete Ismayilzada; Antonio Laverghetta Jr.; Simone Luchini; Reet Patel; Antoine Bosselut; Lonneke van der Plas; Roger E. Beaty (CoRR, 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 (CoRR, 2025)

AbstRaL: Augmenting LLMs' Reasoning by Reinforcing Abstract Thinking. - Silin Gao; Antoine Bosselut; Samy Bengio; Emmanuel Abbe (CoRR, 2025)

Mixture of Cognitive Reasoners: Modular Reasoning with Brain-Like Specialization. - Badr AlKhamissi; C. Nicolò De Sabbata; Zeming Chen 001; Martin Schrimpf; Antoine Bosselut (CoRR, 2025)

ConLID: Supervised Contrastive Learning for Low-Resource Language Identification. - Negar Foroutan; Jakhongir Saydaliev; Ye Eun Kim; Antoine Bosselut (CoRR, 2025)

Challenges for AI in Multimodal STEM Assessments: a Human-AI Comparison. - Aymeric de Chillaz; Anna Sotnikova; Patrick Jermann; Antoine Bosselut (CoRR, 2025)

PERK: Long-Context Reasoning as Parameter-Efficient Test-Time Learning. - Zeming Chen 001; Angelika Romanou; Gail Weiss; Antoine Bosselut (CoRR, 2025)

GeoExplorer: Active Geo-localization with Curiosity-Driven Exploration. - Li Mi; Manon Béchaz; Zeming Chen 001; Antoine Bosselut; Devis Tuia (CoRR, 2025)

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 (CoRR, 2025)