Generating Negative Samples by Manipulating Golden Responses for Unsupervised Learning of a Response Evaluation Model. - ChaeHun Park; Eugene Jang; Wonsuk Yang; Jong Park (NAACL-HLT, 2021)

Optimizing Domain Specificity of Transformer-based Language Models for Extractive Summarization of Financial News Articles in Korean. - Huije Lee; Wonsuk Yang; Chaehun Park; Hoyun Song; Eugene Jang; Jong C. Park (PACLIC, 2021)

An Empirical Study on Measuring the Similarity of Sentential Arguments with Language Model Domain Adaptation. - ChaeHun Park; Sangwoo Seo (CoRR, 2021)

Unsupervised Document Expansion for Information Retrieval with Stochastic Text Generation. - Soyeong Jeong; Jinheon Baek; ChaeHun Park; Jong C. Park (CoRR, 2021)

Evaluating Predictive Uncertainty under Distributional Shift on Dialogue Dataset. - Nyoungwoo Lee; ChaeHun Park; Ho-Jin Choi (CoRR, 2021)

Reweighting Strategy Based on Synthetic Data Identification for Sentence Similarity. - Taehee Kim; ChaeHun Park; Jimin Hong; Radhika Dua; Edward Choi 003; Jaegul Choo (COLING, 2022)

Rethinking Style Transformer with Energy-based Interpretation: Adversarial Unsupervised Style Transfer using a Pretrained Model. - Hojun Cho; Dohee Kim; Seungwoo Ryu; ChaeHun Park; Hyungjong Noh; Jeong-In Hwang; Minseok Choi; Edward Choi 003; Jaegul Choo (EMNLP, 2022)

Pneg: Prompt-based Negative Response Generation for Dialogue Response Selection Task. - Nyoungwoo Lee; ChaeHun Park; Ho-Jin Choi; Jaegul Choo (EMNLP, 2022)

DEnsity: Open-domain Dialogue Evaluation Metric using Density Estimation. - ChaeHun Park; Seungil Chad Lee; Daniel Rim; Jaegul Choo (ACL (Findings), 2023)

Vehicle Lateral Motion Modeling Using Data-Driven Method. - Chaehun Park; Cheolmin Jeong; Chang Mook Kang; Wonhee Kim; Youngseop Son (ICAIIC, 2023)

Learning to Diversify Neural Text Generation via Degenerative Model. - Jimin Hong; ChaeHun Park; Jaegul Choo (IJCNLP (Findings), 2023)

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 (ACL (Findings), 2024)

Forecasting Future International Events: A Reliable Dataset for Text-Based Event Modeling. - Daehoon Gwak; Junwoo Park; Minho Park 003; ChaeHun Park; Hyunchan Lee; Edward Choi 003; Jaegul Choo (EMNLP (Findings), 2024)

PairEval: Open-domain Dialogue Evaluation with Pairwise Comparison. - ChaeHun Park; Minseok Choi; Dohyun Lee 001; Jaegul Choo (CoRR, 2024)

Can Tool-augmented Large Language Models be Aware of Incomplete Conditions? - Seungbin Yang; ChaeHun Park; Taehee Kim; Jaegul Choo (CoRR, 2024)

PRePair: Pointwise Reasoning Enhance Pairwise Evaluating for Robust Instruction-Following Assessments. - Hawon Jeong; ChaeHun Park; Jimin Hong; Jaegul Choo (CoRR, 2024)

Breaking Chains: Unraveling the Links in Multi-Hop Knowledge Unlearning. - Minseok Choi; ChaeHun Park; Dohyun Lee 001; Jaegul Choo (CoRR, 2024)

Evaluating and Improving Automatic Speech Recognition Systems for Korean Meteorological Experts. - ChaeHun Park; Hojun Cho; Jaegul Choo (CoRR, 2024)

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; Jaegul Choo (ACL (1), 2025)

Reward-Weighted Sampling: Enhancing Non-Autoregressive Characteristics in Masked Diffusion LLMs. - Daehoon Gwak; Minseo Jung; Junwoo Park; Minho Park 003; ChaeHun Park; Junha Hyung; Jaegul Choo (CoRR, 2025)