| Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ... arXiv preprint arXiv:2312.11805, 2023 | 2513 | 2023 |
| Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context G Team, P Georgiev, VI Lei, R Burnell, L Bai, A Gulati, G Tanzer, ... arXiv preprint arXiv:2403.05530, 2024 | 960 | 2024 |
| Meta-learning the difference: Preparing large language models for efficient adaptation Z Hou, J Salazar, G Polovets Transactions of the Association for Computational Linguistics 10, 1249-1265, 2022 | 16 | 2022 |
| Long-span language modeling for speech recognition S Parthasarathy, W Gale, X Chen, G Polovets, S Chang arXiv preprint arXiv:1911.04571, 2019 | 12 | 2019 |
| Adaptation Approaches for Nearest Neighbor Language Models R Bhardwaj, G Polovets, M Sunkara arXiv preprint arXiv:2211.07828, 2022 | 6 | 2022 |
| Modular language model adaptation GI Polovets US Patent 10,957,307, 2021 | 5 | 2021 |
| Ensemble combination between different time segmentations JHM Wong, D Dimitriadis, K Kumatani, Y Gaur, G Polovets, ... ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 4 | 2021 |