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
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
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
The Comparative Trap: Pairwise Comparisons Amplifies Biased Preferences of LLM Evaluators
Hawon Jeong*, ChaeHun Park*, Jimin Hong, Hojoon Lee and Jaegul Choo
BlackboxNLP@EMNLP2025
Evaluating Automatic Speech Recognition Systems for Korean Meteorological Experts
ChaeHun Park, Hojun Cho, Jaegul Choo
Findings of EMNLP 2025 [data]
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
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
Breaking Chains: Unraveling the Links in Multi-Hop Knowledge Unlearning
Minseok Choi, ChaeHun Park, Dohyun Lee, Jaegul Choo
arXiv Preprint (2024.10)
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 [code]
Can Tool-augmented Large Language Models be Aware of Incomplete Conditions?
Seungbin Yang*, ChaeHun Park*, Taehee Kim, and Jaegul Choo
arXiv Preprint (2024.06) [data]
PairEval: Open-domain Dialogue Evaluation with Pairwise Comparison
ChaeHun Park, Minseok Choi, Dohyun Lee, and Jaegul Choo
COLM 2024 [code]
ChaeHun Park*, Koanho Lee*, Hyesu Lim, Jaeseok Kim, Junmo Park, Yu-Jung Heo, Du-Seong Chang, Jaegul Choo
Findings of ACL 2024
Learning to Diversify Neural Text Generation via Degenerative Model
Jimin Hong*, ChaeHun Park*, and Jaegul Choo
Findings of IJCNLP-AACL 2023
DEnsity: Open-domain Dialogue Evaluation Metric using Density Estimation
ChaeHun Park, Seungil Lee, Daniel Rim and Jaegul Choo
Findings of ACL 2023 [code]
Hojun Cho, Dohee Kim, Seungwoo Ryu, ChaeHun Park, Hyungjong Noh, Jeong-in Hwang, Minseok Choi, Edward Choi, and Jaegul Choo
EMNLP 2022 [code]
Pneg: Prompt-based Negative Response Generation for Dialogue Response Selection Task
Nyoungwoo Lee, ChaeHun Park, Ho-Jin Choi, and Jaegul Choo
EMNLP 2022 [code]
Reweighting Strategy based on Synthetic Data Identification for Sentence Similarity
TaeHee Kim*, ChaeHun Park*, Jimin Hong, Radhika Dua, Edward Choi, and Jaegul Choo
COLING 2022 [code]
Unsupervised Document Expansion for Information Retrieval with Stochastic Text Generation
Soyeong Jeong, Jinheon Baek, ChaeHun Park, and Jong C. Park
SDP 2021 @ NAACL-HLT 2021 [code]
ChaeHun Park, Eugene Jang, Wonsuk Yang and Jong C. Park
NAACL-HLT 2021 [code]
Generating Sentential Arguments from Diverse Perspectives on Controversial Topic
ChaeHun Park, Wonsuk Yang and Jong C. Park
NLP4IF 2019 @ EMNLP-IJCNLP 2019 [code]
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