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pro vyhledávání: '"Yang, Seongjun"'
This paper presents "Predictive Pipelined Decoding (PPD)," an approach that speeds up greedy decoding in Large Language Models (LLMs) while maintaining the exact same output as the original decoding. Unlike conventional strategies, PPD employs additi
Externí odkaz:
http://arxiv.org/abs/2307.05908
Autor:
Lee, Gyubok, Hwang, Hyeonji, Bae, Seongsu, Kwon, Yeonsu, Shin, Woncheol, Yang, Seongjun, Seo, Minjoon, Kim, Jong-Yeup, Choi, Edward
We present a new text-to-SQL dataset for electronic health records (EHRs). The utterances were collected from 222 hospital staff members, including physicians, nurses, and insurance review and health records teams. To construct the QA dataset on stru
Externí odkaz:
http://arxiv.org/abs/2301.07695
Federated learning (FL) is the most practical multi-source learning method for electronic healthcare records (EHR). Despite its guarantee of privacy protection, the wide application of FL is restricted by two large challenges: the heterogeneous EHR s
Externí odkaz:
http://arxiv.org/abs/2211.07300
Despite the recent advances in out-of-distribution(OOD) detection, anomaly detection, and uncertainty estimation tasks, there do not exist a task-agnostic and post-hoc approach. To address this limitation, we design a novel clustering-based ensemblin
Externí odkaz:
http://arxiv.org/abs/2207.13083
Autor:
Yang, Seongjun, Hwang, Hyeonji, Kim, Daeyoung, Dua, Radhika, Kim, Jong-Yeup, Yang, Eunho, Choi, Edward
Federated learning (FL) is an active area of research. One of the most suitable areas for adopting FL is the medical domain, where patient privacy must be respected. Previous research, however, does not provide a practical guide to applying FL in the
Externí odkaz:
http://arxiv.org/abs/2207.03075
Accurate terminology translation is crucial for ensuring the practicality and reliability of neural machine translation (NMT) systems. To address this, lexically constrained NMT explores various methods to ensure pre-specified words and phrases appea
Externí odkaz:
http://arxiv.org/abs/2105.05498
Autor:
Yang, Seongjun1 (AUTHOR), Kim, Donghyun1 (AUTHOR) donghyun-kim@pusan.ac.kr
Publikováno v:
Annals of Regional Science. Apr2024, Vol. 72 Issue 4, p1079-1103. 25p.
Akademický článek
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