Follow
Karan Singhal
Title
Cited by
Cited by
Year
Large Language Models Encode Clinical Knowledge
K Singhal, S Azizi, T Tu, SS Mahdavi, J Wei, HW Chung, N Scales, ...
Nature, 2022
9112022
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
3062021
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
2562023
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
1142021
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
942023
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
802022
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
572022
Towards conversational diagnostic ai
T Tu, A Palepu, M Schaekermann, K Saab, J Freyberg, R Tanno, A Wang, ...
arXiv preprint arXiv:2401.05654, 2024
252024
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
182022
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
102021
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
102019
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
82023
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
62022
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
52023
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
42020
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
22023
The system can't perform the operation now. Try again later.
Articles 1–20