| Palm: Scaling language modeling with pathways A Chowdhery, S Narang, J Devlin, M Bosma, G Mishra, A Roberts, ... Journal of Machine Learning Research 24 (240), 1-113, 2023 | 5237 | 2023 |
| Scaling instruction-finetuned language models HW Chung, L Hou, S Longpre, B Zoph, Y Tay, W Fedus, Y Li, X Wang, ... Journal of Machine Learning Research 25 (70), 1-53, 2024 | 3049 | 2024 |
| 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 | 2249 | 2023 |
| Large language models encode clinical knowledge K Singhal, S Azizi, T Tu, SS Mahdavi, J Wei, HW Chung, N Scales, ... Nature 620 (7972), 172-180, 2023 | 2057 | 2023 |
| Palm-e: An embodied multimodal language model D Driess, F Xia, MSM Sajjadi, C Lynch, A Chowdhery, B Ichter, A Wahid, ... arXiv preprint arXiv:2303.03378, 2023 | 1469 | 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 | 1443 | 2023 |
| Self-consistency improves chain of thought reasoning in language models X Wang, J Wei, D Schuurmans, Q Le, E Chi, S Narang, A Chowdhery, ... arXiv preprint arXiv:2203.11171, 2022 | 1084 | 2022 |
| Gemma: Open models based on gemini research and technology G Team, T Mesnard, C Hardin, R Dadashi, S Bhupatiraju, S Pathak, ... arXiv preprint arXiv:2403.08295, 2024 | 748 | 2024 |
| 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 | 724 | 2024 |
| Challenging big-bench tasks and whether chain-of-thought can solve them M Suzgun, N Scales, N Schärli, S Gehrmann, Y Tay, HW Chung, ... arXiv preprint arXiv:2210.09261, 2022 | 624 | 2022 |
| The design and implementation of a wireless video surveillance system T Zhang, A Chowdhery, P Bahl, K Jamieson, S Banerjee Proceedings of the 21st annual international conference on mobile computing …, 2015 | 344 | 2015 |
| Efficiently scaling transformer inference R Pope, S Douglas, A Chowdhery, J Devlin, J Bradbury, J Heek, K Xiao, ... Proceedings of Machine Learning and Systems 5, 606-624, 2023 | 304 | 2023 |
| Towards generalist biomedical AI T Tu, S Azizi, D Driess, M Schaekermann, M Amin, PC Chang, A Carroll, ... NEJM AI 1 (3), AIoa2300138, 2024 | 276 | 2024 |
| Server-driven video streaming for deep learning inference K Du, A Pervaiz, X Yuan, A Chowdhery, Q Zhang, H Hoffmann, J Jiang Proceedings of the Annual conference of the ACM Special Interest Group on …, 2020 | 214 | 2020 |
| Scaling up models and data with t5x and seqio A Roberts, HW Chung, G Mishra, A Levskaya, J Bradbury, D Andor, ... Journal of Machine Learning Research 24 (377), 1-8, 2023 | 155 | 2023 |
| Visual wake words dataset A Chowdhery, P Warden, J Shlens, A Howard, R Rhodes arXiv preprint arXiv:1906.05721, 2019 | 154 | 2019 |
| Pathways: Asynchronous distributed dataflow for ml P Barham, A Chowdhery, J Dean, S Ghemawat, S Hand, D Hurt, M Isard, ... Proceedings of Machine Learning and Systems 4, 430-449, 2022 | 142 | 2022 |
| Dselect-k: Differentiable selection in the mixture of experts with applications to multi-task learning H Hazimeh, Z Zhao, A Chowdhery, M Sathiamoorthy, Y Chen, ... Advances in Neural Information Processing Systems 34, 29335-29347, 2021 | 131 | 2021 |
| Accelerating machine learning inference with probabilistic predicates Y Lu, A Chowdhery, S Kandula, S Chaudhuri Proceedings of the 2018 International Conference on Management of Data, 1493 …, 2018 | 127 | 2018 |
| Optasia: A relational platform for efficient large-scale video analytics Y Lu, A Chowdhery, S Kandula Proceedings of the Seventh ACM Symposium on Cloud Computing, 57-70, 2016 | 118 | 2016 |
Sharan NarangResearch Engineer, Meta AIVerified email at meta.com
