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Karan Singhal
Karan Singhal
Health AI at OpenAI
Verified email at openai.com - Homepage
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
20432022
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
6052023
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
3832021
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
2712023
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
1482021
Towards conversational diagnostic ai
T Tu, A Palepu, M Schaekermann, K Saab, J Freyberg, R Tanno, A Wang, ...
arXiv preprint arXiv:2401.05654, 2024
1172024
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
1172022
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
772022
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
542023
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
372022
Gpt-4o system card
A Hurst, A Lerer, AP Goucher, A Perelman, A Ramesh, A Clark, AJ Ostrow, ...
arXiv preprint arXiv:2410.21276, 2024
272024
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
232022
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
162024
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
142022
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
122021
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
112023
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. 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
82022
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
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