Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ... arXiv preprint arXiv:2312.11805, 2023 | 3208 | 2023 |
Scaling language models: Methods, analysis & insights from training gopher JW Rae, S Borgeaud, T Cai, K Millican, J Hoffmann, F Song, J Aslanides, ... arXiv preprint arXiv:2112.11446, 2021 | 1315* | 2021 |
Ethical and social risks of harm from language models L Weidinger, J Mellor, M Rauh, C Griffin, J Uesato, PS Huang, M Cheng, ... arXiv preprint arXiv:2112.04359, 2021 | 1060 | 2021 |
Taxonomy of risks posed by language models L Weidinger, J Uesato, M Rauh, C Griffin, PS Huang, J Mellor, A Glaese, ... Proceedings of the 2022 ACM conference on fairness, accountability, and …, 2022 | 634 | 2022 |
Improving alignment of dialogue agents via targeted human judgements A Glaese, N McAleese, M Trębacz, J Aslanides, V Firoiu, T Ewalds, ... arXiv preprint arXiv:2209.14375, 2022 | 484 | 2022 |
Sociotechnical safety evaluation of generative ai systems L Weidinger, M Rauh, N Marchal, A Manzini, LA Hendricks, ... arXiv preprint arXiv:2310.11986, 2023 | 128 | 2023 |
The ethics of advanced ai assistants I Gabriel, A Manzini, G Keeling, LA Hendricks, V Rieser, H Iqbal, ... arXiv preprint arXiv:2404.16244, 2024 | 55 | 2024 |
Characteristics of harmful text: Towards rigorous benchmarking of language models M Rauh, J Mellor, J Uesato, PS Huang, J Welbl, L Weidinger, S Dathathri, ... Advances in Neural Information Processing Systems 35, 24720-24739, 2022 | 50 | 2022 |
Muzero with self-competition for rate control in vp9 video compression A Mandhane, A Zhernov, M Rauh, C Gu, M Wang, F Xue, W Shang, ... arXiv preprint arXiv:2202.06626, 2022 | 50 | 2022 |
Phase equilibrium, excess enthalpies, and densities of binary mixtures of trimethylbutylammonium bis (trifluoromethylsulfonyl) imide with ethanol, 1-propanol, and dimethylformamide M Massel, AL Revelli, E Paharik, M Rauh, LO Mark, JF Brennecke Journal of Chemical & Engineering Data 60 (1), 65-73, 2015 | 23 | 2015 |
Representation in AI evaluations AS Bergman, LA Hendricks, M Rauh, B Wu, W Agnew, M Kunesch, I Duan, ... Proceedings of the 2023 ACM Conference on Fairness, Accountability, and …, 2023 | 21 | 2023 |
The responsible foundation model development cheatsheet: A review of tools & resources S Longpre, S Biderman, A Albalak, H Schoelkopf, D McDuff, S Kapoor, ... arXiv preprint arXiv:2406.16746, 2024 | 7 | 2024 |
Gaps in the Safety Evaluation of Generative AI M Rauh, N Marchal, A Manzini, LA Hendricks, R Comanescu, C Akbulut, ... Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society 7, 1200-1217, 2024 | 4 | 2024 |
Century: A Framework and Dataset for Evaluating Historical Contextualisation of Sensitive Images C Akbulut, K Robinson, M Rauh, I Albuquerque, O Wiles, L Weidinger, ... The Thirteenth International Conference on Learning Representations, 0 | | |
Century: A Dataset of Sensitive Historical Images C Akbulut, K Robinson, M Rauh, I Albuquerque, O Wiles, L Weidinger, ... Workshop on Socially Responsible Language Modelling Research, 0 | | |
Supporting Information for “Phase equilibrium, Excess Enthalpies and Densities of Binary Mixtures of Trimethylbutylammonium Bis (trifluoromethylsulfonyl) imide with Ethanol, 1 … M Massel, AL Revelli, E Paharik, M Rauh, LO Mark, JF Brennecke | | |