Research Interest

Hello! I am broadly interested in Natural Language Processing (NLP) and Large Language Models (LLMs). My work is primarily driven by three core objectives:

  1. Multimodal Knowledge in Conversational Agents: I am deeply involved in integrating diverse forms of data—text and vision—into conversational agents, which aims to create more intuitive and human-like interactions.

  2. Personalized Assistant: Central to my research is the creation of personalized dialogue agents. I strive to develop systems that understand and adapt to individual user preferences and histories, offering a more tailored and relevant conversational experience.

  3. Ensuring Safety: I am also committed to designing conversational agents that can maintain ethical standards.

In this exciting journey of exploring and pushing the boundaries of NLP and LLMs, my goal is to contribute to the development of conversational agents that are not only intellectually advanced but also safe, personal, and profoundly human-centric.

Education

Ph.D. in Computer Science and Engineering

2022 - Current
Seoul National University

Advisor: Gunhee Kim

M.S. in Computer Science and Engineering

2019 - 2022
Seoul National University

B.S. in Computer Science and Engineering

2014 - 2019
Korea University

Publications

Taehyun Lee*, Seokhee Hong*, Jaewoo Ahn, Ilgee Hong, Hwaran Lee, Sangdoo Yun, Jamin Shin and Gunhee Kim (* equal contribution)
arXiv 2023
[code]
Keighley Overbay, Jaewoo Ahn*, Fatemeh Pesaran Zadeh*, Joonsuk Park and Gunhee Kim (* equal contribution)
EMNLP 2023
[code]
Jaewoo Ahn, Yeda Song, Sangdoo Yun and Gunhee Kim
ACL 2023
[code] [slides]
Byeongchang Kim, Jaewoo Ahn and Gunhee Kim
ICLR 2020 (spotlight)
[OpenReview] [code]