| LLaMA: Open and efficient foundation language models H Touvron, T Lavril, G Izacard, X Martinet, MA Lachaux, T Lacroix, ... arXiv preprint arXiv:2302.13971, 2023 | 9111 | 2023 |
| Toolformer: Language models can teach themselves to use tools T Schick, J Dwivedi-Yu, R Dessì, R Raileanu, M Lomeli, E Hambro, ... Advances in Neural Information Processing Systems 36, 2024 | 1082 | 2024 |
| Minihack the planet: A sandbox for open-ended reinforcement learning research M Samvelyan, R Kirk, V Kurin, J Parker-Holder, M Jiang, E Hambro, ... NeurIPS 2021 Datasets and Benchmarks, 2021 | 86 | 2021 |
| Understanding the effects of rlhf on llm generalisation and diversity R Kirk, I Mediratta, C Nalmpantis, J Luketina, E Hambro, E Grefenstette, ... arXiv preprint arXiv:2310.06452, 2023 | 52 | 2023 |
| GPflux: A library for deep Gaussian processes V Dutordoir, H Salimbeni, E Hambro, J McLeod, F Leibfried, A Artemev, ... arXiv preprint arXiv:2104.05674, 2021 | 29 | 2021 |
| Rainbow teaming: Open-ended generation of diverse adversarial prompts M Samvelyan, SC Raparthy, A Lupu, E Hambro, AH Markosyan, M Bhatt, ... arXiv preprint arXiv:2402.16822, 2024 | 20 | 2024 |
| Insights from the Neurips 2021 Nethack Challenge E Hambro, S Mohanty, D Babaev, M Byeon, D Chakraborty, ... NeurIPS 2021 Competitions and Demonstrations Track, 41-52, 2022 | 19 | 2022 |
| Teaching large language models to reason with reinforcement learning A Havrilla, Y Du, SC Raparthy, C Nalmpantis, J Dwivedi-Yu, ... arXiv preprint arXiv:2403.04642, 2024 | 15 | 2024 |
| Dungeons and Data: A Large-Scale NetHack Dataset E Hambro, R Raileanu, D Rothermel, V Mella, T Rocktäschel, H Küttler, ... Advances in Neural Information Processing Systems 35, 24864-24878, 2022 | 14 | 2022 |
| Glore: When, where, and how to improve llm reasoning via global and local refinements A Havrilla, S Raparthy, C Nalmpantis, J Dwivedi-Yu, M Zhuravinskyi, ... arXiv preprint arXiv:2402.10963, 2024 | 9 | 2024 |
| moolib: A Platform for Distributed RL. 2022 V Mella, E Hambro, D Rothermel, H Küttler URL https://github. com/facebookresearch/moolib 8, 18, 2022 | 7* | 2022 |
| Generalization to new sequential decision making tasks with in-context learning SC Raparthy, E Hambro, R Kirk, M Henaff, R Raileanu arXiv preprint arXiv:2312.03801, 2023 | 5 | 2023 |
| Know When To Stop: A Study of Semantic Drift in Text Generation A Spataru, E Hambro, E Voita, N Cancedda arXiv preprint arXiv:2404.05411, 2024 | | 2024 |
| Learning to Solve New sequential decision-making Tasks with In-Context Learning SC Raparthy, E Hambro, R Kirk, M Henaff, R Raileanu NeurIPS 2023 Foundation Models for Decision Making Workshop, 0 | | |
Heinrich KüttlerxAIVerified email at math.lmu.de
