| Training language models to follow instructions with human feedback L Ouyang, J Wu, X Jiang, D Almeida, C Wainwright, P Mishkin, C Zhang, ... Advances in Neural Information Processing Systems 35, 27730-27744, 2022 | 5982 | 2022 |
| Training verifiers to solve math word problems K Cobbe, V Kosaraju, M Bavarian, M Chen, H Jun, L Kaiser, M Plappert, ... arXiv preprint arXiv:2110.14168, 2021 | 1050 | 2021 |
| WebGPT: Browser-assisted question-answering with human feedback R Nakano, J Hilton, S Balaji, J Wu, L Ouyang, C Kim, C Hesse, S Jain, ... arXiv preprint arXiv:2112.09332, 2021 | 662 | 2021 |
| TruthfulQA: Measuring How Models Mimic Human Falsehoods S Lin, J Hilton, O Evans arXiv preprint arXiv:2109.07958, 2021 | 643 | 2021 |
| Leveraging procedural generation to benchmark reinforcement learning K Cobbe, C Hesse, J Hilton, J Schulman International conference on machine learning, 2048-2056, 2020 | 497 | 2020 |
| ChatGPT: Optimizing language models for dialogue J Schulman, B Zoph, C Kim, J Hilton, J Menick, J Weng, JFC Uribe, ... OpenAI blog, 2022 | 331 | 2022 |
| Phasic policy gradient KW Cobbe, J Hilton, O Klimov, J Schulman International Conference on Machine Learning, 2020-2027, 2021 | 149 | 2021 |
| Scaling laws for reward model overoptimization L Gao, J Schulman, J Hilton International Conference on Machine Learning, 10835-10866, 2023 | 141 | 2023 |
| Teaching Models to Express Their Uncertainty in Words S Lin, J Hilton, O Evans arXiv preprint arXiv:2205.14334, 2022 | 137 | 2022 |
| Understanding RL Vision J Hilton, N Cammarata, S Carter, G Goh, C Olah Distill 5 (11), e29, 2020 | 21 | 2020 |
| Batch size-invariance for policy optimization J Hilton, K Cobbe, J Schulman Advances in Neural Information Processing Systems 35, 17086-17098, 2022 | 12 | 2022 |
| Topological Ramsey numbers and countable ordinals AE Caicedo, J Hilton Foundations of mathematics 690, 85-118, 2017 | 12 | 2017 |
| The topological pigeonhole principle for ordinals J Hilton The Journal of Symbolic Logic 81 (2), 662-686, 2016 | 12 | 2016 |
| Scaling laws for single-agent reinforcement learning J Hilton, J Tang, J Schulman arXiv preprint arXiv:2301.13442, 2023 | 4 | 2023 |
| Combinatorics of countable ordinal topologies JH Hilton University of Leeds, 2016 | 3 | 2016 |
| Any modification of Müller's Markov process is transient J Hilton, J Kramár | | |
| The Hex Factor: The NIST Hash Function Competition J Hilton | | |
