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Sushant Prakash
Sushant Prakash
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Year
Toward expert-level medical question answering with large language models
K Singhal, T Tu, J Gottweis, R Sayres, E Wulczyn, M Amin, L Hou, K Clark, ...
Nature Medicine, 1-8, 2025
7232025
Rlaif: Scaling reinforcement learning from human feedback with ai feedback
H Lee, S Phatale, H Mansoor, KR Lu, T Mesnard, J Ferret, C Bishop, ...
4572023
Towards generalist biomedical AI
T Tu, S Azizi, D Driess, M Schaekermann, M Amin, PC Chang, A Carroll, ...
NEJM AI 1 (3), AIoa2300138, 2024
3332024
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
1542021
Automatic suggestions for message exchange threads
TS Milligan, H Shemer, D Kiilerich, G Ji, O Gershony, S Nazarov, ...
US Patent 10,530,723, 2020
1472020
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
1202007
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
712023
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
592023
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
52
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
432022
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
392023
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
302023
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 30 (12), 3590-3600, 2024
292024
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
232024
S. PRAKASH
O Prakash, A Shrivastava
Indian J. Pure Appl. Phys 24, 306, 1986
19*1986
Learning to merge word senses
RSS Prakash, D Jurafsky, AY Ng
Computer Science Department, Stanford University, 2007
182007
Learning federated representations and recommendations with limited negatives
L Ning, K Singhal, EX Zhou, S Prakash
arXiv preprint arXiv:2108.07931, 2021
132021
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
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
82024
Toward interpretability of dual-encoder models for dialogue response suggestions
Y Li, D Li, S Prakash, P Wang
arXiv preprint arXiv:2003.04998, 2020
32020
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