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Amelia Glaese
Amelia Glaese
Sonstige NamenMia Glaese
Google DeepMind
Bestätigte E-Mail-Adresse bei deepmind.com
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Zitiert von
Zitiert von
Jahr
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
25132023
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
11482021
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
10012021
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
M Reid, N Savinov, D Teplyashin, D Lepikhin, T Lillicrap, J Alayrac, ...
arXiv preprint arXiv:2403.05530, 2024
9602024
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
6182022
Red teaming language models with language models
E Perez, S Huang, F Song, T Cai, R Ring, J Aslanides, A Glaese, ...
arXiv preprint arXiv:2202.03286, 2022
5972022
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
4692022
Gemini: A family of highly capable multimodal models
R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ...
arXiv preprint arXiv:2312.11805 1, 2023
3072023
Challenges in detoxifying language models
J Welbl, A Glaese, J Uesato, S Dathathri, J Mellor, LA Hendricks, ...
arXiv preprint arXiv:2109.07445, 2021
2382021
Fine-tuning language models to find agreement among humans with diverse preferences
M Bakker, M Chadwick, H Sheahan, M Tessler, L Campbell-Gillingham, ...
Advances in Neural Information Processing Systems 35, 38176-38189, 2022
2222022
Teaching language models to support answers with verified quotes
J Menick, M Trebacz, V Mikulik, J Aslanides, F Song, M Chadwick, ...
arXiv preprint arXiv:2203.11147, 2022
2152022
Cyprien de Masson d’Autume
JW Rae, S Borgeaud, T Cai, K Millican, J Hoffmann, F Song, J Aslanides, ...
1062021
Cyprien de Masson d’Autume, Yujia Li, Tayfun Terzi, Vladimir Mikulik, Igor Babuschkin, Aidan Clark, Diego de Las Casas, Aurelia Guy, Chris Jones, James Bradbury, Matthew J
JW Rae, S Borgeaud, T Cai, K Millican, J Hoffmann, HF Song, J Aslanides, ...
Johnson, Blake A. Hechtman, Laura Weidinger, Iason Gabriel, William S. Isaac …, 2021
702021
Androidenv: A reinforcement learning platform for android
D Toyama, P Hamel, A Gergely, G Comanici, A Glaese, Z Ahmed, ...
arXiv preprint arXiv:2105.13231, 2021
652021
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
492022
OpenAI o1 System Card
A Jaech, A Kalai, A Lerer, A Richardson, A El-Kishky, A Low, A Helyar, ...
arXiv preprint arXiv:2412.16720, 2024
292024
Red Teaming Language Models with Language Models, February 2022a
E Perez, S Huang, F Song, T Cai, R Ring, J Aslanides, A Glaese, ...
URL https://arxiv. org/abs/2202.03286 v1, 0
25
Enabling flexible automation system hardware: Dynamic reconfiguration of a real-time capable field-bus
D Regulin, A Glaese, S Feldmann, D Schütz, B Vogel-Heuser
2015 IEEE 13th International Conference on Industrial Informatics (INDIN …, 2015
132015
Measuring short-form factuality in large language models
J Wei, N Karina, HW Chung, YJ Jiao, S Papay, A Glaese, J Schulman, ...
arXiv preprint arXiv:2411.04368, 2024
122024
Teaching language models to support answers with verified quotes, 2022
J Menick, M Trebacz, V Mikulik, J Aslanides, F Song, M Chadwick, ...
URL https://arxiv. org/abs/2203.11147, 2022
112022
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