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Sushant Prakash
Sushant Prakash
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Cited by
Cited by
Year
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
Automatic suggestions for message exchange threads
TS Milligan, H Shemer, D Kiilerich, G Ji, O Gershony, S Nazarov, ...
US Patent 10,530,723, 2020
1312020
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
1162007
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
1142021
Towards generalist biomedical ai
T Tu, S Azizi, D Driess, M Schaekermann, M Amin, PC Chang, A Carroll, ...
NEJM AI 1 (3), AIoa2300138, 2024
962024
Learning to merge word senses
RSS Prakash, D Jurafsky, AY Ng
Computer Science Department, Stanford University, 2007
182007
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
162023
Learning federated representations and recommendations with limited negatives
L Ning, K Singhal, EX Zhou, S Prakash
arXiv preprint arXiv:2108.07931, 2021
102021
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
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, 2023
82023
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
52023
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
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
12024
Toward interpretability of dual-encoder models for dialogue response suggestions
Y Li, D Li, S Prakash, P Wang
arXiv preprint arXiv:2003.04998, 2020
12020
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
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
2024
Partially local federated learning
K Singhal, JR Hakim Sidahmed, ZA Garrett, WU Shanshan, JK Rush, ...
US Patent App. 17/332,893, 2022
2022
Automatic suggestions for message exchange threads
TS Milligan, H Shemer, D Kiilerich, G Ji, O Gershony, S Nazarov, ...
US Patent 11,418,471, 2022
2022
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
2022
Local Detection of Topical Entities Using Machine Learning
H Sidahmed, S Prakash, R Fuchs, E Zhou, M Dragus, F Schmiedl
2022
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