Hi! or "Annyeonghaseyo!" I am a M.S. student in the Computer Science & Engineering Department at the Korea University and a member of Data Mining and Information Systems (DMIS) Lab, advised by Prof. Jaewoo Kang. I worked as an AI researcher at Nara-Information for seven months, and had an experience of Lab researcher in Song Lab (hosted by Prof. Sanghoun Song). Prior to my M.S. studies, I received a Bachelor's degree in Linguistics and Computer Science from Korea University.
My research area covers the broad field of natural language process, with a focus on Temporal Knowledge, Knowledge Editing and Retrieval Augmented Generation. I am also interested in domain specific language mode, including Biomedical LM.
You can find my CV in here.
[jɛin bɑk]
Selected Publications
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[Under Review] Does Time Have Its Place? Temporal Heads: Where Language Models Recall Time-specific Information
Yein Park, Chanwoong Yoon, Jungwoo Park, Minbyul Jeong, Jaewoo Kang
[Under Review] Assessing LLM Reasoning Steps via Principal Knowledge Grounding
Hyeon Hwang, Yewon Cho, Chanwoong Yoon, Yein Park, Minju Song, Kyungjae Lee, Gangwoo Kim, Jaewoo Kang
[ICLR 2025] ChroKnowledge: Unveiling Chronological Knowledge of Language Models in Multiple Domains
Yein Park, Chanwoong Yoon, Jungwoo Park, Donghyeon Lee, Minbyul Jeong, Jaewoo Kang
[NAACL 2025] Rationale-Guided Retrieval Augmented Generation for Medical Question Answering
Jiwoong Sohn, Yein Park, Chanwoong Yoon, Sihyeon Park, Hyeon Hwang, Mujeen Sung, Hyunjae Kim, Jaewoo Kang
Work Experience
AI Researcher Metaverse lab team
- Designed domain specific sLLM for local government
- Develped tour recommendation system combined with LLM by RAG method
- Assisted Korean curtural contents project using commercial AI systems.
Researcher Korean AI dataset team (host: Prof. Sanghoun Song)
- Joined Korean legal/bidomedical AI dataset project.
- Worked as crowdworker for legal data tagging and labelling.
Education
Data Mining & Information Systems Lab (advisor: Prof. Jaewoo Kang)
(advisor: Prof. Seok-Hoon You)
Projects
- Temporal Alignment through Chronosemanticity.
- Supported to research on knowledge distillation method. - Utilize Knowledge Hierarchy.
- Developed Korean local tour recommendation system combined with LLM by RAG methods.
- Designed pipeline of recommendation using personalized tour data, with efficient ML methods.
- [Available GPTs ver]
- [link to the post]
- Developed sLLM specialized to administrative and civil affairs works for local government's officers.
- Developed summarization and search agents among the entire LLM pipeline.
- [link to the post]