I am a Research Scientist at Liner, working on helping people get smarter faster. I received my Ph.D. from DIAL Lab at Sungkyunkwan University, advised by Prof. Jongwuk Lee. My research lies in Information Retrieval (IR) and Natural Language Processing (NLP), with a focus on building robust and efficient Retrieval-Augmented Generation (RAG) frameworks. In particular, I study context–memory conflicts, prompt compression, and reasoning-intensive retrieval to enable scalable and reliable real-world applications.
Keywords: Retrieval-Augmented Generation, Efficient LLMs, Information Retrieval, NLP
Focus: Continual fine-tuning for recency-aware dense retrieval
Focus: Learned sparse retrieval with uni-encoder for efficient first-stage retrieval
Advisor: Prof. Jongwuk Lee
Thesis: Improving Evidentiality and Compression for Retrieval-Augmented Generation
B.S., Samsung Convergence Software Course