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Seongjun Yang
Seongjun Yang
KRAFTON Inc.
krafton.com의 이메일 확인됨 - 홈페이지
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Towards the Practical Utility of Federated Learning in the Medical Domain
S Yang, H Hwang, D Kim, R Dua, JY Kim, E Yang, E Choi
arXiv preprint arXiv:2207.03075, 2023
142023
Ehrsql: A practical text-to-sql benchmark for electronic health records
G Lee, H Hwang, S Bae, Y Kwon, W Shin, S Yang, M Seo, JY Kim, E Choi
Advances in Neural Information Processing Systems 35, 15589-15601, 2022
122022
Predictive pipelined decoding: A compute-latency trade-off for exact LLM decoding
S Yang, G Lee, J Cho, D Papailiopoulos, K Lee
arXiv preprint arXiv:2307.05908, 2023
72023
Task agnostic and post-hoc unseen distribution detection
R Dua, S Yang, Y Li, E Choi
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023
52023
Improving lexically constrained neural machine translation with source-conditioned masked span prediction
G Lee, S Yang, E Choi
arXiv preprint arXiv:2105.05498, 2021
52021
Universal EHR federated learning framework
J Kim, K Hur, S Yang, E Choi
arXiv preprint arXiv:2211.07300, 2022
32022
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