홍Hong 석 Seok 희Hee

last updated : 2024/02/18

seokhee.hong@lgresearch.ai | hongcheki@gmail.com | CV | Google Scholar | Semantic Scholar | GitHub

Hi, I am an AI Scientist at EXAONE Lab, LG AI Research. Before this, I received my M.S. in Computer Science from Vision&Learning Lab at Seoul National University, advised by Prof. Gunhee Kim. My research interest is in the field of Natural Language Processing (NLP), especially in Fairness, Safety, and Trustworthiness in NLP. I am interested in addressing all potential risks that may arise from using Large Language Models.

Work Experiences

• EXAONE Lab, LG AI Research (Nov. 2023 - Present)
  • AI Scientist

Education

• M.S. in Computer Science and Engineering, Seoul National University (Mar. 2021 - Aug. 2023)
  • Advisor: Prof. Gunhee Kim
• B.S. in Computer Science, Yonsei University (Mar. 2014 - Feb.2021)

Publications

• Who Wrote this Code? Watermarking for Code Generation
  Taehyun Lee*, Seokhee Hong*, Jaewoo Ahn, Ilgee Hong, Hwaran Lee, Sangdoo Yun, Jamin Shin, Gunhee Kim
  arXiv preprint
  [PDF] / [Code]


• SQuARe: A Large-Scale Dataset of Sensitive Questions and Acceptable Responses Created Through Human-Machine Collaboration
  Hwaran Lee*, Seokhee Hong*, Joonsuk Park, Takyoung Kim, Meeyoung Cha, Yejin Choi, Byoung Pil Kim, Gunhee Kim, Eun-Ju Lee, Yong Lim, Alice Oh, Sangchul Park, Jung-Woo Ha
  ACL 2023 (Oral)
  [PDF] / [Dataset & Code]


• KoSBi: A Dataset for Mitigating Social Bias Risks Towards Safer Large Model Application
  Hwaran Lee*, Seokhee Hong*, Joonsuk Park, Takyoung Kim, Gunhee Kim, Jung-Woo Ha
  ACL 2023 (Industry Track)
  [PDF] / [Dataset & Code]


• How Robust are Fact Checking Systems on Colloquial Claims?
  Byeongchang Kim*, Hyunwoo Kim*, Seokhee Hong, Gunhee Kim
  NAACL 2021
  [PDF] / [Dataset & Code]