Hi, I’m ChaeHun Park, a Ph.D. student at KAIST. I’m happy to be advised by Prof. Jaegul Choo. My research interests lie in NLP, especially in dialogue systems and the automatic evaluation of various NLG applications.
Contact Information
ChaeHun Park (박채훈) [CV]
Email: ddehun@kaist.ac.kr
Github: ddehun
Linkedin: Chaehun Park
Publication
International Conference
Jimin Hong*, ChaeHun Park*, and Jaegul Choo (*: equal contributions)
Learning to Diversify Neural Text Generation via Degenerative Model
Findings of IJCNLP-AACL2023 [paper]
ChaeHun Park, Seungil Lee, Daniel Rim and Jaegul Choo
DEnsity: Open-domain Dialogue Evaluation Metric using Density Estimation
Findings of ACL2023 [paper] [Github]
Hojun Cho, Dohee Kim, Seungwoo Ryu, ChaeHun Park, Hyungjong Noh, Jeong-in Hwang, Minseok Choi, Edward Choi, and Jaegul Choo
Rethinking Style Transformer by Energy-based Interpretation: Adversarial Unsupervised Style Transfer using Pretrained Model
EMNLP2022 [paper]
Nyoungwoo Lee, ChaeHun Park, Ho-Jin Choi, and Jaegul Choo
Pneg: Prompt-based Negative Response Generation for Dialogue Response Selection Task
EMNLP2022 [paper] [Github]
TaeHee Kim*, ChaeHun Park*, Jimin Hong, Radhika Dua, Edward Choi, and Jaegul Choo (*: equal contributions)
Reweighting Strategy based on Synthetic Data Identification for Sentence Similarity
COLING2022 [paper] [Github]
Soyeong Jeong, Jinheon Baek, ChaeHun Park, and Jong C. Park
Unsupervised Document Expansion for Information Retrieval with Stochastic Text Generation
SDP2021, A workshop at NAACL-HLT 2021 [paper] [Github]
ChaeHun Park, Eugene Jang, Wonsuk Yang and Jong C. Park
Generating Negative Samples by Manipulating Golden Responses for Unsupervised Learning of a Response Evaluation Model
NAACL-HLT 2021 [paper] [Github]
ChaeHun Park, Wonsuk Yang and Jong C. Park
Generating Sentential Arguments from Diverse Perspectives on Controversial Topic
NLP4IF 2019, A workshop at EMNLP-IJCNLP 2019 [paper] [Github]
Wonsuk Yang, Jung Ho Kim, Seungwon Yoon, ChaeHun Park and Jong C. Park
A Corpus of Sentence-level Annotations of Local Acceptability with Reasons
PACLIC 33, 2019 [paper]
Preprint
ChaeHun Park, Minseok Choi, Dohyun Lee, and Jaegul Choo
PAIREVAL: Open-domain Dialogue Evaluation with Pairwise Comparison
Arxiv preprint, April 2, 2024 [paper]
Nyoungwoo Lee, ChaeHun Park and Ho-Jin Choi
Evaluating Predictive Uncertainty under Distributional Shift on Dialogue Dataset
Arxiv preprint, September 1, 2021. [paper]
ChaeHun Park and Sangwoo Seo
An Empirical Study on Measuring the Similarity of Sentential Arguments with Language Model Domain Adaptation
Arxiv preprint, February 19, 2021. [paper]
Education
2020.09 - present KAIST, Ph.D candidate
Graduate School of AI
Advisor: Jaegul Choo
2018.03 - 2020.02 KAIST, M.S.
School of Computing
Advisor: Jong C. Park
Thesis: Generating Diverse Sentential Arguments on Controversial Topics with a Memory-augmented Generation Model
2013.03 - 2018.02 KAIST, B.S.
School of Computing (major)
Dept. of Chemistry (minor)
Experience
2020.03 - 2020.08 Scatter Lab, Pingpong
Research Intern
2017.07 - 2020.02 NOTA Inc.
Intern
Academic Services
Reviewer: ACL ARR (2021November, 2022January, 2022March), COLING2022, EMNLP2022, ACL2023