ChaeHun Park (박채훈)
ChaeHun Park (박채훈)
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Hi, I am ChaeHun Park, an Assistant Professor in the School of Electronics and Computer Engineering at Chonnam National University. I received my PhD in AI from KAIST under the supervision of Prof. Jaegul Choo. My research focuses on natural language processing, particularly dialogue systems, LLM evaluation, and multilingual/multimodal language intelligence. I lead the Language Intelligence Lab (LILab), where we study reliable and knowledge-driven AI systems that operate across diverse languages, modalities, and real-world environments.
Email: chaehun.park@jnu.ac.kr
Curriculum Vitae (CV): pdf
Work Experience 🏢
2026.03 - present: Assistant Professor at Chonnam National University
2025.04 - 2026.01: Staff Engineer at Samsung Research
2020.03 - 2020.08: Research Intern at Scatter Lab
2017.07 - 2018.02: Intern at Nota Inc.
Education 🏫
Korea Advanced Institute of Science and Technology (KAIST)
2020.09 - 2025.02
Advisor: Jaegul Choo
Ph.D in Grad. school of AI
Korea Advanced Institute of Science and Technology (KAIST)
2018.03 - 2020.02
Advisor: Jong C. Park
M.S. in School of Computing
Thesis: Generating Diverse Sentential Arguments on Controversial Topics with a Memory-augmented Generation Model
Korea Advanced Institute of Science and Technology (KAIST)
2013.03 - 2018.02
BS in School of Computing (major) Dept. of Chemistry (minor)
Publications (*: equal contribution)
LiveWeb-IE: A Benchmark For Online Web Information Extraction
Seungbin Yang, Jihwan Kim, Jaemin Choi, Dongjin Kim, Soyoung Yang, ChaeHun Park, Jaegul Choo
ICLR 2026
LLM Reasoning
Not the Example, but the Process: How Self-Generated Examples Enhance LLM Reasoning
Daehoon Gwak, Minseo Jung, Junwoo Park, Minho Park, ChaeHun Park, Junha Hyung, Jaegul Choo
IJCNLP-AACL 2025
Time-series LLM
Delving into Large Language Models for Effective Time-Series Anomaly Detection
Junwoo Park, Kyudan Jung, Dohyun Lee, Hyuck Lee, Daehoon Gwak, ChaeHun Park, Jaegul Choo, and Jaewoong Cho
NeurIPS 2025
[paper]
Dialogue Evaluation
The Comparative Trap: Pairwise Comparisons Amplifies Biased Preferences of LLM Evaluators
Hawon Jeong*, ChaeHun Park*, Jimin Hong, Hojoon Lee and Jaegul Choo
BlackboxNLP@EMNLP2025
[paper]
Speech Recognition
Evaluating Automatic Speech Recognition Systems for Korean Meteorological Experts
ChaeHun Park, Hojun Cho, Jaegul Choo
Findings of EMNLP 2025
Diffusion LLM
Reward-Weighted Sampling: Enhancing Non-Autoregressive Characteristics in Masked Diffusion LLMs
Daehoon Gwak*, Minseo Jung*, Junwoo Park, Minho Park, ChaeHun Park, Junha Hyung, and Jaegul Choo
EMNLP 2025
[paper]
Dataset Generation Multimodal Multicultural
Evaluating Visual and Cultural Interpretation: The K-Viscuit Benchmark with Human-VLM Collaboration
ChaeHun Park*, Yujin Baek*, Jaeseok Kim, Yu-Jung Heo, Du-Seong Chang, and Jaegul Choo
ACL 2025
Unlearning
Breaking Chains: Unraveling the Links in Multi-Hop Knowledge Unlearning
Minseok Choi, ChaeHun Park, Dohyun Lee, Jaegul Choo
arXiv Preprint (2024.10)
[paper]
Dataset Generation Event Prediction
Forecasting Future International Events: A Reliable Dataset for Text-Based Event Modeling
Daehoon Gwak, Junwoo Park, Minho Park, ChaeHun Park, Hyunchan Lee, Edward Choi, Jaegul Choo
Findings of EMNLP2024
[paper]
Tool+LLM
Can Tool-augmented Large Language Models be Aware of Incomplete Conditions?
Seungbin Yang*, ChaeHun Park*, Taehee Kim, and Jaegul Choo
arXiv Preprint (2024.06)
Dialogue Evaluation
PAIREVAL: Open-domain Dialogue Evaluation with Pairwise Comparison
ChaeHun Park, Minseok Choi, Dohyun Lee, and Jaegul Choo
COLM 2024
Multimodal Multilingual
Translation Deserves Better: Analyzing Translation Artifacts in Cross-lingual Visual Question Answering
ChaeHun Park*, Koanho Lee*, Hyesu Lim, Jaeseok Kim, Junmo Park, Yu-Jung Heo, Du-Seong Chang, Jaegul Choo
Findings of ACL2024
[paper]
Language Generation
Learning to Diversify Neural Text Generation via Degenerative Model
Jimin Hong*, ChaeHun Park*, and Jaegul Choo
Findings of IJCNLP-AACL2023
[paper]
Dialogue Evaluation
DEnsity: Open-domain Dialogue Evaluation Metric using Density Estimation
ChaeHun Park, Seungil Lee, Daniel Rim and Jaegul Choo
Findings of ACL2023
Style Transfer
Rethinking Style Transformer by Energy-based Interpretation: Adversarial Unsupervised Style Transfer using Pretrained Model
Hojun Cho, Dohee Kim, Seungwoo Ryu, ChaeHun Park, Hyungjong Noh, Jeong-in Hwang, Minseok Choi, Edward Choi, and Jaegul Choo
EMNLP2022
Dialogue Evaluation Dataset Generation
Pneg: Prompt-based Negative Response Generation for Dialogue Response Selection Task
Nyoungwoo Lee, ChaeHun Park, Ho-Jin Choi, and Jaegul Choo
EMNLP2022
Dataset Generation
Reweighting Strategy based on Synthetic Data Identification for Sentence Similarity
TaeHee Kim*, ChaeHun Park*, Jimin Hong, Radhika Dua, Edward Choi, and Jaegul Choo
COLING2022
Dialogue Evaluation
Evaluating Predictive Uncertainty under Distributional Shift on Dialogue Dataset
Nyoungwoo Lee, ChaeHun Park, and Ho-Jin Choi
arXiv Preprint (2021.09)
[paper]
Document Retrieval Dataset Generation
Unsupervised Document Expansion for Information Retrieval with Stochastic Text Generation
Soyeong Jeong, Jinheon Baek, ChaeHun Park, and Jong C. Park
SDP2021, A workshop at NAACL-HLT 2021
Dialogue Evaluation Dataset Generation
Generating Negative Samples by Manipulating Golden Responses for Unsupervised Learning of a Response Evaluation Model
ChaeHun Park, Eugene Jang, Wonsuk Yang and Jong C. Park
NAACL-HLT 2021
Argument Mining
Generating Sentential Arguments from Diverse Perspectives on Controversial Topic
ChaeHun Park, Wonsuk Yang and Jong C. Park
NLP4IF 2019, A workshop at EMNLP-IJCNLP 2019
Argument Mining
A Corpus of Sentence-level Annotations of Local Acceptability with Reasons
Wonsuk Yang, Jung Ho Kim, Seungwon Yoon, ChaeHun Park and Jong C. Park
PACLIC 33, 2019
[paper]
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