| 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 | 708 | 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 | 600 | 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 | 229 | 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 | 220 | 2022 |
| Predictability and surprise in large generative models D Ganguli, D Hernandez, L Lovitt, A Askell, Y Bai, A Chen, T Conerly, ... Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022 | 173 | 2022 |
| Toy models of superposition N Elhage, T Hume, C Olsson, N Schiefer, T Henighan, S Kravec, ... arXiv preprint arXiv:2209.10652, 2022 | 145 | 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 | 130 | 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 | 96 | 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 | 59 | 2023 |
| All-fermion electrodynamics and fermion number anomaly inflow S Kravec, J McGreevy, B Swingle Physical Review D 92 (8), 085024, 2015 | 48 | 2015 |
| 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 | 42 | 2022 |
| Towards understanding sycophancy in language models M Sharma, M Tong, T Korbak, D Duvenaud, A Askell, SR Bowman, ... arXiv preprint arXiv:2310.13548, 2023 | 41 | 2023 |
| Nonrelativistic conformal field theories in the large charge sector SM Kravec, S Pal Journal of High Energy Physics 2019 (2), 1-24, 2019 | 39 | 2019 |
| Gauge theory generalization of the fermion doubling theorem SM Kravec, J McGreevy Physical Review Letters 111 (16), 161603, 2013 | 36 | 2013 |
| Localization of a Hole on an Adenine− Thymine Radical Cation in B-Form DNA in Water SM Kravec, CD Kinz-Thompson, EM Conwell The Journal of Physical Chemistry B 115 (19), 6166-6171, 2011 | 25 | 2011 |
| The spinful large charge sector of non-relativistic CFTs: from phonons to vortex crystals SM Kravec, S Pal Journal of High Energy Physics 2019 (5), 1-22, 2019 | 24 | 2019 |
| 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 | 12 | |
| Evaluating and mitigating discrimination in language model decisions A Tamkin, A Askell, L Lovitt, E Durmus, N Joseph, S Kravec, K Nguyen, ... arXiv preprint arXiv:2312.03689, 2023 | 11 | 2023 |
| Sleeper agents: Training deceptive llms that persist through safety training E Hubinger, C Denison, J Mu, M Lambert, M Tong, M MacDiarmid, ... arXiv preprint arXiv:2401.05566, 2024 | 9 | 2024 |
| 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 |
Brian SwingleAssociate Professor, Brandeis UniversityVerified email at brandeis.edu
