| Large Language Models Encode Clinical Knowledge K Singhal, S Azizi, T Tu, SS Mahdavi, J Wei, HW Chung, N Scales, ... Nature, 2022 | 916 | 2022 |
| 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 | 306 | 2021 |
| 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 | 256 | 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 | 114 | 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 | 96 | 2023 |
| 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 | 80 | 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 | 57 | 2022 |
| Towards conversational diagnostic ai T Tu, A Palepu, M Schaekermann, K Saab, J Freyberg, R Tanno, A Wang, ... arXiv preprint arXiv:2401.05654, 2024 | 26 | 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 | 18 | 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 | 10 | 2021 |
| 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. arXiv 2022 K Singhal, S Azizi, T Tu, SS Mahdavi, J Wei, HW Chung, N Scales, ... arXiv preprint arXiv:2212.13138, 0 | 10 | |
| 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 | 8 | 2023 |
| 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 | |
| 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 | 6 | 2022 |
| 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 | 5 | 2023 |
| 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, 0 | 5 | |
| DeepBloom K Singhal, P Weiss | 4 | 2020 |
| Towards expert-level medical question answering with large language models. CoRR, abs/2305.09617, 2023. doi: 10.48550 K Singhal, T Tu, J Gottweis, R Sayres, E Wulczyn, L Hou, K Clark, S Pfohl, ... arXiv preprint arXiv.2305.09617, 0 | 3 | |
| SASSL: Enhancing Self-Supervised Learning via Neural Style Transfer RA Rojas-Gomez, K Singhal, A Etemad, A Bijamov, WR Morningstar, ... arXiv preprint arXiv:2312.01187, 2023 | 2 | 2023 |
Warren MorningstarResearch Software Engineer, Google ResearchBestätigte E-Mail-Adresse bei google.com
