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 | 751 | 2021 |
Improving language models by retrieving from trillions of tokens S Borgeaud, A Mensch, J Hoffmann, T Cai, E Rutherford, K Millican, ... International conference on machine learning, 2206-2240, 2022 | 652 | 2022 |
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 | 300 | 2022 |
Using the Veil of Ignorance to align AI systems with principles of justice L Weidinger, KR McKee, R Everett, S Huang, TO Zhu, MJ Chadwick, ... Proceedings of the National Academy of Sciences 120 (18), e2213709120, 2023 | 19 | 2023 |
Generative AI and the digital commons S Huang, D Siddarth arXiv preprint arXiv:2303.11074, 2023 | 19 | 2023 |
A Departure from Truth S Huang Harvard Political Review, 2016 | 4 | 2016 |
Bi-Level Multi-Agent Reinforcement Learning for Intervening in Intertemporal Social Dilemmas S Huang Harvard University, 2021 | | 2021 |