On the importance of pre-training data volume for compact language models. - Vincent Micheli; Martin d'Hoffschmidt; François Fleuret (EMNLP (1), 2020)

Multi-task Reinforcement Learning with a Planning Quasi-Metric. - Vincent Micheli; Karthigan Sinnathamby; François Fleuret (CoRR, 2020)

Language Models are Few-Shot Butlers. - Vincent Micheli; François Fleuret (EMNLP (1), 2021)

MineRL Diamond 2021 Competition: Overview, Results, and Lessons Learned. - Anssi Kanervisto; Stephanie Milani; Karolis Ramanauskas; Nicholay Topin; Zichuan Lin; Junyou Li; Jianing Shi; Deheng Ye; Qiang Fu 016; Wei Yang 032; Weijun Hong; Zhongyue Huang; et al. (NeurIPS (Competition and Demos), 2021)

Structural analysis of an all-purpose question answering model. - Vincent Micheli; Quentin Heinrich; François Fleuret; Wacim Belblidia (CoRR, 2021)

Human control redressed: Comparing AI and human predictability in a real-effort task. - Serhiy Kandul; Vincent Micheli; Juliane Beck; Thomas Burri; François Fleuret; Markus Kneer; Markus Christen (CogSci, 2023)

Transformers are Sample-Efficient World Models. - Vincent Micheli; Eloi Alonso; François Fleuret (ICLR, 2023)

Efficient World Models with Context-Aware Tokenization. - Vincent Micheli; Eloi Alonso; François Fleuret (ICML, 2024)

Diffusion for World Modeling: Visual Details Matter in Atari. - Eloi Alonso; Adam Jelley; Vincent Micheli; Anssi Kanervisto; Amos J. Storkey; Tim Pearce; François Fleuret (NeurIPS, 2024)