Training a helpful and harmless assistant with reinforcement learning from human feedback Y Bai, A Jones, K Ndousse, A Askell, A Chen, N DasSarma, D Drain, ... arXiv preprint arXiv:2204.05862, 2022 | 723 | 2022 |
Constitutional ai: Harmlessness from ai feedback Y Bai, S Kadavath, S Kundu, A Askell, J Kernion, A Jones, A Chen, ... arXiv preprint arXiv:2212.08073, 2022 | 602 | 2022 |
Language models (mostly) know what they know S Kadavath, T Conerly, A Askell, T Henighan, D Drain, E Perez, ... arXiv preprint arXiv:2207.05221, 2022 | 237 | 2022 |
Red teaming language models to reduce harms: Methods, scaling behaviors, and lessons learned D Ganguli, L Lovitt, J Kernion, A Askell, Y Bai, S Kadavath, B Mann, ... arXiv preprint arXiv:2209.07858, 2022 | 226 | 2022 |
Toy models of superposition N Elhage, T Hume, C Olsson, N Schiefer, T Henighan, S Kravec, ... arXiv preprint arXiv:2209.10652, 2022 | 146 | 2022 |
Discovering language model behaviors with model-written evaluations E Perez, S Ringer, K Lukošiūtė, K Nguyen, E Chen, S Heiner, C Pettit, ... arXiv preprint arXiv:2212.09251, 2022 | 131 | 2022 |
The capacity for moral self-correction in large language models D Ganguli, A Askell, N Schiefer, TI Liao, K Lukošiūtė, A Chen, A Goldie, ... arXiv preprint arXiv:2302.07459, 2023 | 98 | 2023 |
Towards monosemanticity: Decomposing language models with dictionary learning T Bricken, A Templeton, J Batson, B Chen, A Jermyn, T Conerly, N Turner, ... Transformer Circuits Thread, 2, 2023 | 62 | 2023 |
Measuring progress on scalable oversight for large language models SR Bowman, J Hyun, E Perez, E Chen, C Pettit, S Heiner, K Lukošiūtė, ... arXiv preprint arXiv:2211.03540, 2022 | 44 | 2022 |
Scaling laws and interpretability of learning from repeated data D Hernandez, T Brown, T Conerly, N DasSarma, D Drain, S El-Showk, ... arXiv preprint arXiv:2205.10487, 2022 | 39 | 2022 |
Measuring faithfulness in chain-of-thought reasoning T Lanham, A Chen, A Radhakrishnan, B Steiner, C Denison, ... arXiv preprint arXiv:2307.13702, 2023 | 38 | 2023 |
Training a helpful and harmless assistant with reinforcement learning from human feedback. CoRR, abs/2204.05862, 2022a. doi: 10.48550 Y Bai, A Jones, K Ndousse, A Askell, A Chen, N DasSarma, D Drain, ... arXiv preprint arXiv.2204.05862, 0 | 13 | |
Dawn Drain D Hernandez, T Brown, T Conerly, N DasSarma Sheer El-Showk, Nelson Elhage, Zac Hatfield-Dodds, Tom Henighan, Tristan …, 2022 | 11 | 2022 |
Specific versus general principles for constitutional ai S Kundu, Y Bai, S Kadavath, A Askell, A Callahan, A Chen, A Goldie, ... arXiv preprint arXiv:2310.13798, 2023 | 9 | 2023 |
Training a helpful and harmless assistant with reinforcement learning from human feedback. arXiv Y Bai, A Jones, K Ndousse, A Askell, A Chen, N DasSarma, D Drain, ... Preprint posted online April 12, 10.48550, 2022 | 8 | 2022 |
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