| Large Language Models Encode Clinical Knowledge K Singhal, S Azizi, T Tu, SS Mahdavi, J Wei, HW Chung, N Scales, ... Nature, 2022 | 2042 | 2022 |
| Towards Expert-Level Medical Question Answering with Large Language Models K Singhal, T Tu, J Gottweis, R Sayres, E Wulczyn, L Hou, K Clark, S Pfohl, ... arXiv preprint arXiv:2305.09617, 2023 | 604 | 2023 |
| A Field Guide to Federated Optimization J Wang, Z Charles, Z Xu, G Joshi, HB McMahan, M Al-Shedivat, G Andrew, ... arXiv preprint arXiv:2107.06917, 2021 | 381 | 2021 |
| Towards Generalist Biomedical AI T Tu, S Azizi, D Driess, M Schaekermann, M Amin, PC Chang, A Carroll, ... NEJM AI (New England Journal of Medicine 2024), 2023 | 270 | 2023 |
| Federated Reconstruction: Partially Local Federated Learning K Singhal, H Sidahmed, Z Garrett, S Wu, K Rush, S Prakash Advances in Neural Information Processing Systems (NeurIPS 2021), 2021 | 148 | 2021 |
| Towards conversational diagnostic ai T Tu, A Palepu, M Schaekermann, K Saab, J Freyberg, R Tanno, A Wang, ... arXiv preprint arXiv:2401.05654, 2024 | 117 | 2024 |
| Plex: Towards Reliability using Pretrained Large Model Extensions D Tran, J Liu, MW Dusenberry, D Phan, M Collier, J Ren, K Han, Z Wang, ... arXiv preprint arXiv:2207.07411, 2022 | 117 | 2022 |
| What Do We Mean by Generalization in Federated Learning? H Yuan, W Morningstar, L Ning, K Singhal International Conference on Learning Representations (ICLR 2022), 2022 | 77 | 2022 |
| Towards accurate differential diagnosis with large language models D McDuff, M Schaekermann, T Tu, A Palepu, A Wang, J Garrison, ... arXiv preprint arXiv:2312.00164, 2023 | 54 | 2023 |
| y Arcas K Singhal, T Tu, J Gottweis, R Sayres, E Wulczyn, L Hou, K Clark, S Pfohl, ... BA, Tomasev, N., Liu, Y., Wong, R., Semturs, C., Mahdavi, SS, Barral, J …, 2022 | 37 | 2022 |
| Gpt-4o system card A Hurst, A Lerer, AP Goucher, A Perelman, A Ramesh, A Clark, AJ Ostrow, ... arXiv preprint arXiv:2410.21276, 2024 | 27 | 2024 |
| Large language models encode clinical knowledge. arXiv K Singhal, S Azizi, T Tu, SS Mahdavi, J Wei, HW Chung, N Scales, ... Preprint posted online December 26, 2022 | 23 | 2022 |
| A toolbox for surfacing health equity harms and biases in large language models SR Pfohl, H Cole-Lewis, R Sayres, D Neal, M Asiedu, A Dieng, ... Nature Medicine, 1-11, 2024 | 16 | 2024 |
| Large language models encode clinical knowledge. arXiv 2022 K Singhal, S Azizi, T Tu, SS Mahdavi, J Wei, HW Chung, N Scales, ... arXiv preprint arXiv:2212.13138, 2022 | 14 | 2022 |
| Learning Federated Representations and Recommendations with Limited Negatives L Ning, K Singhal, EX Zhou, S Prakash NeurIPS 2021 Workshop on New Frontiers in Federated Learning (NeurIPS NFFL 2021), 2021 | 12 | 2021 |
| Towards generalist biomedical ai, 2023 T Tu, S Azizi, D Driess, M Schaekermann, M Amin, PC Chang, A Carroll, ... URL https://arxiv. org/abs/2307.14334, 2023 | 11 | 2023 |
| Learning Multilingual Word Embeddings Using Image-Text Data K Singhal, K Raman, B Cate Second Workshop on Shortcomings in Vision and Language (NAACL), 68-77, 2019 | 10 | 2019 |
| Large language models encode clinical knowledge. CoRR, abs/2212.13138, 2022. doi: 10.48550 K Singhal, S Azizi, T Tu, SS Mahdavi, J Wei, HW Chung, N Scales, ... arXiv preprint arXiv.2212.13138 10, 0 | 9 | |
| Mixed federated learning: Joint decentralized and centralized learning S Augenstein, A Hard, L Ning, K Singhal, S Kale, K Partridge, R Mathews arXiv preprint arXiv:2205.13655, 2022 | 8 | 2022 |
| Plex: towards reliability using pretrained large model extensions (2022) D Tran, J Liu, MW Dusenberry, D Phan, M Collier, J Ren, K Han, Z Wang, ... URL https://arxiv. org/abs/2207.07411, 0 | 8 | |
Sushant PrakashGoogleVerified email at google.com
