Seoyeon Kim

Hello, I am a second year M.S. student at Yonsei University (DLI Lab), advised by Prof. Dongha Lee.
As a researcher in natural language processing (NLP) field, I aim to build a knowledgeable large Language Model (LLM) that can assist people faithfully.

My research interest includes but not limited to:

  • Evaluating knowledge of LLMs in various domains and tasks
  • Knowledge Augmentation of LLMs

    Most recently, I am interested in creating benchmarks and evaluating LLMs, especially in terms of their Korean (and multilingual) proficiency on various tasks.


Education
  • Yonsei University
    Yonsei University
    M.S. in Artificial Intelligence
    Sep. 2023 - Aug. 2025 (expected)
  • Yonsei University
    Yonsei University
    B.A. in English Language and Literature
    B.S. in Industrial Engineering
    Mar. 2019 - Aug. 2023
Experience
  • Tutoring
    Tutoring
    AI Researcher
    Mar. 2023 - Feb. 2024
Publications
Can Code-Switched Texts Activate a Knowledge Switch in LLMs? A Case Study on English-Korean Code-Switching

Seoyeon Kim, Huiseo Kim, Chanjun Park, Jinyoung Yeo, Dongha Lee

Preprint

Can Code-Switched Texts Activate a Knowledge Switch in LLMs? A Case Study on English-Korean Code-Switching

Seoyeon Kim, Huiseo Kim, Chanjun Park, Jinyoung Yeo, Dongha Lee

Preprint

VerifiNER: Verification-augmented NER via Knowledge-grounded Reasoning with Large Language Models

Seoyeon Kim*, Kwangwook Seo*, Hyungjoo Chae, Jinyoung Yeo, Dongha Lee (* equal contribution)

ACL 2024

VerifiNER: Verification-augmented NER via Knowledge-grounded Reasoning with Large Language Models

Seoyeon Kim*, Kwangwook Seo*, Hyungjoo Chae, Jinyoung Yeo, Dongha Lee (* equal contribution)

ACL 2024

Commonsense-augmented Memory Construction and Management in Long-term Conversations via Context-aware Persona Refinement

Hana Kim, Kai Ong, Seoyeon Kim, Dongha Lee, Jinyoung Yeo

EACL 2024

Commonsense-augmented Memory Construction and Management in Long-term Conversations via Context-aware Persona Refinement

Hana Kim, Kai Ong, Seoyeon Kim, Dongha Lee, Jinyoung Yeo

EACL 2024