| 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 | 398 | 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 | 155 | 2024 |
| Federated reconstruction: Partially local federated learning K Singhal, H Sidahmed, Z Garrett, S Wu, J Rush, S Prakash Advances in Neural Information Processing Systems 34, 11220-11232, 2021 | 135 | 2021 |
| Automatic suggestions for message exchange threads TS Milligan, H Shemer, D Kiilerich, G Ji, O Gershony, S Nazarov, ... US Patent 10,530,723, 2020 | 135 | 2020 |
| Learning to merge word senses R Snow, S Prakash, D Jurafsky, AY Ng Proceedings of the 2007 joint conference on empirical methods in natural …, 2007 | 117 | 2007 |
| 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 | 29 | 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 | 24 | 2023 |
| Universal self-consistency for large language model generation X Chen, R Aksitov, U Alon, J Ren, K Xiao, P Yin, S Prakash, C Sutton, ... arXiv preprint arXiv:2311.17311, 2023 | 20 | 2023 |
| Towards expert-level medical question answering with large language models. 2023 K Singhal, T Tu, J Gottweis, R Sayres, E Wulczyn, L Hou, K Clark, S Pfohl, ... arXiv preprint arXiv:2305.09617, 2023 | 18 | 2023 |
| Learning to merge word senses RSS Prakash, D Jurafsky, AY Ng Computer Science Department, Stanford University, 2007 | 18 | 2007 |
| Rest meets react: Self-improvement for multi-step reasoning llm agent R Aksitov, S Miryoosefi, Z Li, D Li, S Babayan, K Kopparapu, Z Fisher, ... arXiv preprint arXiv:2312.10003, 2023 | 15 | 2023 |
| Learning federated representations and recommendations with limited negatives L Ning, K Singhal, EX Zhou, S Prakash arXiv preprint arXiv:2108.07931, 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 | 8 | 2023 |
| Prakash. L S Prakash, YK Sharma Nucleotide excision repair in yeast//Mut. Res 451, 13-24, 2000 | 6 | 2000 |
| 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, ... arXiv preprint arXiv:2403.12025, 2024 | 5 | 2024 |
| User-LLM: Efficient LLM Contextualization with User Embeddings L Ning, L Liu, J Wu, N Wu, D Berlowitz, S Prakash, B Green, S O'Banion, ... arXiv preprint arXiv:2402.13598, 2024 | 5 | 2024 |
| Augmentations vs algorithms: What works in self-supervised learning W Morningstar, A Bijamov, C Duvarney, L Friedman, N Kalibhat, L Liu, ... arXiv preprint arXiv:2403.05726, 2024 | 2 | 2024 |
| Toward interpretability of dual-encoder models for dialogue response suggestions Y Li, D Li, S Prakash, P Wang arXiv preprint arXiv:2003.04998, 2020 | 2 | 2020 |
| A Unified Approach to Entity-Centric Context Tracking in Social Conversations U Rückert, S Sunkara, A Rastogi, S Prakash, P Khaitan arXiv preprint arXiv:2201.12409, 2022 | 1 | 2022 |
| RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback H Lee, S Phatale, H Mansoor, T Mesnard, J Ferret, KR Lu, C Bishop, ... Forty-first International Conference on Machine Learning, 0 | 1 | |
