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Maribeth Rauh
Maribeth Rauh
Research Engineer, DeepMind
Verifisert e-postadresse på deepmind.com
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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
32082023
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
10602021
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
6342022
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
4842022
Sociotechnical safety evaluation of generative ai systems
L Weidinger, M Rauh, N Marchal, A Manzini, LA Hendricks, ...
arXiv preprint arXiv:2310.11986, 2023
1282023
The ethics of advanced ai assistants
I Gabriel, A Manzini, G Keeling, LA Hendricks, V Rieser, H Iqbal, ...
arXiv preprint arXiv:2404.16244, 2024
552024
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
502022
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
502022
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
232015
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
212023
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
72024
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
42024
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
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Artikler 1–16