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
2084 2023 Palm 2 technical report R Anil, AM Dai, O Firat, M Johnson, D Lepikhin, A Passos, S Shakeri, ...
arXiv preprint arXiv:2305.10403, 2023
1403 2023 Beyond the imitation game: Quantifying and extrapolating the capabilities of language models A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ...
arXiv preprint arXiv:2206.04615, 2022
1143 2022 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
617 2024 Solving quantitative reasoning problems with language models A Lewkowycz, A Andreassen, D Dohan, E Dyer, H Michalewski, ...
Advances in Neural Information Processing Systems 35, 3843-3857, 2022
595 2022 The large learning rate phase of deep learning: the catapult mechanism A Lewkowycz, Y Bahri, E Dyer, J Sohl-Dickstein, G Gur-Ari
arXiv preprint arXiv:2003.02218, 2020
237 2020 Boundary terms, variational principles, and higher derivative modified gravity E Dyer, K Hinterbichler
Physical Review D—Particles, Fields, Gravitation, and Cosmology 79 (2), 024028, 2009
232 2009 Gradient descent happens in a tiny subspace G Gur-Ari, DA Roberts, E Dyer
arXiv preprint arXiv:1812.04754, 2018
211 2018 Explaining neural scaling laws Y Bahri, E Dyer, J Kaplan, J Lee, U Sharma
Proceedings of the National Academy of Sciences 121 (27), e2311878121, 2024
207 2024 Anatomy of catastrophic forgetting: Hidden representations and task semantics VV Ramasesh, E Dyer, M Raghu
arXiv preprint arXiv:2007.07400, 2020
185 2020 Exploring length generalization in large language models C Anil, Y Wu, A Andreassen, A Lewkowycz, V Misra, V Ramasesh, ...
Advances in Neural Information Processing Systems 35, 38546-38556, 2022
177 2022 Effect of scale on catastrophic forgetting in neural networks VV Ramasesh, A Lewkowycz, E Dyer
International Conference on Learning Representations, 2021
166 2021 When do curricula work? X Wu, E Dyer, B Neyshabur
arXiv preprint arXiv:2012.03107, 2020
137 2020 Asymptotics of wide networks from feynman diagrams E Dyer, G Gur-Ari
arXiv preprint arXiv:1909.11304, 2019
121 2019 Block-recurrent transformers DL Hutchins, I Schlag, Y Wu, E Dyer, B Neyshabur
Advances in neural information processing systems 35, 33248-33261, 2022
111 2022 Universal bounds on charged states in 2d CFT and 3d gravity N Benjamin, E Dyer, AL Fitzpatrick, S Kachru
Journal of High Energy Physics 2016 (8), 1-26, 2016
96 2016 Scaling dimensions of monopole operators in the E Dyer, M Mezei, SS Pufu, S Sachdev
Journal of High Energy Physics 2015 (6), 1-48, 2015
83 2015 2D CFT partition functions at late times E Dyer, G Gur-Ari
Journal of High Energy Physics 2017 (8), 1-35, 2017
80 2017 Affinity and diversity: Quantifying mechanisms of data augmentation R Gontijo-Lopes, SJ Smullin, ED Cubuk, E Dyer
arXiv preprint arXiv:2002.08973, 2020
68 2020 Monopole taxonomy in three-dimensional conformal field theories E Dyer, M Mezei, SS Pufu
arXiv preprint arXiv:1309.1160, 2013
68 2013