Sangryul Kim
sangryul(at)kaist.ac.kr / ksl970330(at)naver.com.
![prof_pic.jpg](/assets/img/prof_pic.jpg?185c0644ca8d77c39492f34fa174647a)
I am Sangryul Kim, currently a Master's Student
at XFACT lab in KAIST AI. Before joining here, I was an intern as a machine learning engineer at NAVER WEBTOON. My main interests are LLM
and Reasoning
, with a focus on related downstream tasks such as Retrieval
and QA
, but I am not limited to specific topics. The topics I have worked on are as follows:
- Filtering unnecessary information in search systems with alignment tuning
- Analyzing model’s confidence from the token likelihood perspective of language models
- NLP applications using LLM
I majored in Computer Science and Engineering at Chung-Ang University and minored in Applied Statistics. During my university studies, I also worked as a Software Engineer in the IMQA team at ONYCOM INC. in the field of making web applicaitons, which sparked my interest not only in research but also in actual development. In the future, I want to experience the process of turning research into real products for users.
news
Apr 30, 2024 | 1 paper accepted to Clinical NLP workshop at NAACL 2024 |
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Jan 18, 2024 | 1 paper accepted to Findings of EACL 2024 |
Aug 22, 2023 | Win 2nd Place in the 2023 AI Graduate School Challenge (KT CTO Award) |
Jan 02, 2023 | Join XFACT Lab at KAIST AI as a Master student. |