last updated : 2026/10/14
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.
I received my M.S. in Computer Science and Engineering from Seoul National University,
advised by Prof. Gunhee Kim.
My work focuses on large-scale synthetic data generation and curation,
evaluation and benchmark design, and training and evaluation for agentic search and tool use.
Work Experience
-
EXAONE Lab, LG AI Research (Nov. 2023 - Present)
- AI Scientist
I contribute to the EXAONE model series through post-training data synthesis and curation,
model evaluation and benchmarking, and agentic search and tool-use training and evaluation.
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
-
EXAONE Model Series: EXAONE 3.0, 3.5, Deep, 4.0, 4.5, K-EXAONE, and K-EXAONE 2.0
LG AI Research (participated as a core contributor)
Technical reports, 2024–2026
[K-EXAONE 2.0 Report] / [K-EXAONE 2.0 Model]
-
Learning to Comply: Workflow-Grounded Environment Generation for Training Procedurally Compliant Agents
Seungwon Lim*, Minu Kim*, Seokhee Hong, Jinyoung Yeo, Se-Young Yun, Joonkee Kim
COLM 2026
[PDF]
-
Instruction Following with Composable Constraints
Wooseok Seo, Sangyeon Yoon, Valentina Pyatkin, Heuiyeen Yeen, Sunkyoung Kim, Yongil Kim, Youngjae Yu, Seokhee Hong
NeurIPS 2026 Workshop on Linguistic Principles for Foundation Models
-
From KMMLU-Redux to KMMLU-Pro: A Professional Korean Benchmark Suite for LLM Evaluation
Seokhee Hong*, Sunkyoung Kim*, Guijin Son, Soyeon Kim, Yeonjung Hong, Jinsik Lee
EMNLP 2025 (Findings)
[PDF] / [Dataset]
-
MANTA: A Scalable Pipeline for Transmuting Massive Web Corpora into Instruction Datasets
Heuiyeen Yeen, Seokhee Hong, Hyeongu Yun, Jinsik Lee
EMNLP 2025 (Findings)
[PDF] / [Dataset]
-
Who Wrote this Code? Watermarking for Code Generation
Taehyun Lee*, Seokhee Hong*, Jaewoo Ahn, Ilgee Hong, Hwaran Lee, Sangdoo Yun, Jamin Shin†, Gunhee Kim†
ACL 2024
[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; Best Paper Nomination)
[PDF] / [Dataset & Code]
-
KoSBi: A Dataset for Mitigating Social Bias Risks Towards Safer Large Language 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]
*: equal contribution / †: corresponding authors