| Gemini: a Family of Highly Capable Multimodal Models G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ... arXiv preprint arXiv:2312.11805, 2023 | 3208 | 2023 |
| Gemma: Open Models Based on Gemini Research and Technology G Team, T Mesnard, C Hardin, R Dadashi, S Bhupatiraju, S Pathak, ... arXiv preprint arXiv:2403.08295, 2024 | 1187* | 2024 |
| RLAIF: Scaling Reinforcement Learning from Human Feedback with AI Feedback H Lee, S Phatale, H Mansoor, T Mesnard, J Ferret, K Lu, C Bishop, E Hall, ... International Conference on Machine Learning (ICML 2024), 2023 | 548* | 2023 |
| Gemma 2: Improving Open Language Models at a Practical Size G Team, M Riviere, S Pathak, PG Sessa, C Hardin, S Bhupatiraju, ... arXiv preprint arXiv:2408.00118, 2024 | 473* | 2024 |
| Acme: A Research Framework for Distributed Reinforcement Learning MW Hoffman, B Shahriari, J Aslanides, G Barth-Maron, N Momchev, ... arXiv preprint arXiv:2006.00979, 2020 | 275 | 2020 |
| Direct Language Model Alignment from Online AI Feedback S Guo, B Zhang, T Liu, T Liu, M Khalman, F Llinares, A Rame, T Mesnard, ... arXiv preprint arXiv:2402.04792, 2024 | 107 | 2024 |
| Adversarially Guided Actor-Critic Y Flet-Berliac*, J Ferret*, O Pietquin, P Preux, M Geist International Conference on Learning Representations (ICLR 2021), 2021 | 96 | 2021 |
| Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback P Roit*, J Ferret*, L Shani*, R Aharoni, G Cideron, R Dadashi, M Geist, ... ACL, 2023 | 77 | 2023 |
| WARM: On the Benefits of Weight Averaged Reward Models A Ramé, N Vieillard, L Hussenot, R Dadashi, G Cideron, O Bachem, ... International Conference on Machine Learning (ICML 2024), 2024 | 66* | 2024 |
| Self-Attentional Credit Assignment for Transfer in Reinforcement Learning J Ferret, R Marinier, M Geist, O Pietquin International Joint Conference on Artificial Intelligence (IJCAI 2020), 2019 | 36 | 2019 |
| Lazy-MDPs: Towards Interpretable Reinforcement Learning By Learning When To Act A Jacq*, J Ferret*, O Pietquin, M Geist International Conference on Autonomous Agents and Multiagent Systems (AAMAS …, 2022 | 28* | 2022 |
| Self-Imitation Advantage Learning J Ferret, O Pietquin, M Geist International Conference on Autonomous Agents and Multiagent Systems (AAMAS …, 2020 | 26 | 2020 |
| There Is No Turning Back: A Self-Supervised Approach for Reversibility-Aware Reinforcement Learning N Grinsztajn*, J Ferret*, O Pietquin, P Preux, M Geist Advances in Neural Information Processing Systems (NeurIPS 2021), 2021 | 24 | 2021 |
| BOND: Aligning LLMs with Best-of-N Distillation PG Sessa, R Dadashi, L Hussenot, J Ferret, N Vieillard, A Ramé, ... International Conference on Learning Representations (ICLR 2025), 2025 | 21 | 2025 |
| WARP: On the Benefits of Weight Averaged Rewarded Policies A Ramé, J Ferret, N Vieillard, R Dadashi, L Hussenot, PL Cedoz, ... arXiv preprint arXiv:2406.16768, 2024 | 17* | 2024 |
| A Survey of Temporal Credit Assignment in Deep Reinforcement Learning E Pignatelli, J Ferret, M Geist, T Mesnard, H van Hasselt, O Pietquin, ... Transactions on Machine Learning Research (TMLR), 2023 | 14 | 2023 |
| Conditioned Language Policy: A General Framework for Steerable Multi-Objective Finetuning K Wang, R Kidambi, R Sullivan, A Agarwal, C Dann, A Michi, M Gelmi, ... EMNLP Findings, 2024 | 9 | 2024 |
| Recurrentgemma: Moving past transformers for efficient open language models A Botev, S De, SL Smith, A Fernando, GC Muraru, R Haroun, L Berrada, ... arXiv preprint arXiv:2404.07839, 2024 | 9* | 2024 |
| Credit assignment as a proxy for transfer in reinforcement learning J Ferret, R Marinier, M Geist, O Pietquin Learning Transferrable Skills Workshop, NeurIPS, 2019 | 6 | 2019 |
| Humanity's Last Exam L Phan, A Gatti, Z Han, N Li, J Hu, H Zhang, S Shi, M Choi, A Agrawal, ... arXiv preprint arXiv:2501.14249, 2025 | 5 | 2025 |
Léonard HussenotGoogle DeepMindEmail được xác minh tại google.com