Feature Attention Network: Interpretable Depression Detection from Social Media. - Hoyun Song; Jinseon You; Jin-Woo Chung; Jong C. Park (PACLIC, 2018)

A Large-scale Comprehensive Abusiveness Detection Dataset with Multifaceted Labels from Reddit. - Hoyun Song; Soo Hyun Ryu; Huije Lee; Jong C. Park (CoNLL, 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)

ELF22: A Context-based Counter Trolling Dataset to Combat Internet Trolls. - Huije Lee; Young Ju Na; Hoyun Song; Jisu Shin 001; Jong C. Park (LREC, 2022)

A Simple and Flexible Modeling for Mental Disorder Detection by Learning from Clinical Questionnaires. - Hoyun Song; Jisu Shin 001; Huije Lee; Jong Park (ACL (1), 2023)

Generation of Korean Offensive Language by Leveraging Large Language Models via Prompt Design. - Jisu Shin 001; Hoyun Song; Huije Lee; Fitsum Gaim; Jong Park (IJCNLP (1), 2023)

A Simple and Flexible Modeling for Mental Disorder Detection by Learning from Clinical Questionnaires. - Hoyun Song; Jisu Shin 001; Huije Lee; Jong C. Park (CoRR, 2023)

Ask LLMs Directly, "What shapes your bias?": Measuring Social Bias in Large Language Models. - Jisu Shin 001; Hoyun Song; Huije Lee; Soyeong Jeong; Jong Park (ACL (Findings), 2024)

Towards Effective Counter-Responses: Aligning Human Preferences with Strategies to Combat Online Trolling. - Huije Lee; Hoyun Song; Jisu Shin 001; Sukmin Cho; SeungYoon Han; Jong Park (EMNLP (Findings), 2024)

Ask LLMs Directly, "What shapes your bias?": Measuring Social Bias in Large Language Models. - Jisu Shin 001; Hoyun Song; Huije Lee; Soyeong Jeong; Jong C. Park (CoRR, 2024)

Towards Effective Counter-Responses: Aligning Human Preferences with Strategies to Combat Online Trolling. - Huije Lee; Hoyun Song; Jisu Shin 001; Sukmin Cho; SeungYoon Han; Jong C. Park (CoRR, 2024)

Different Bias Under Different Criteria: Assessing Bias in LLMs with a Fact-Based Approach. - Changgeon Ko; Jisu Shin 001; Hoyun Song; Jeongyeon Seo; Jong C. Park (CoRR, 2024)

Spotting Out-of-Character Behavior: Atomic-Level Evaluation of Persona Fidelity in Open-Ended Generation. - Jisu Shin 001; Juhyun Oh; Eunsu Kim; Hoyun Song; Alice Oh (ACL (Findings), 2025)

EXIT: Context-Aware Extractive Compression for Enhancing Retrieval-Augmented Generation. - Taeho Hwang; Sukmin Cho; Soyeong Jeong; Hoyun Song; SeungYoon Han; Jong C. Park (ACL (Findings), 2025)

Does Rationale Quality Matter? Enhancing Mental Disorder Detection via Selective Reasoning Distillation. - Hoyun Song; Huije Lee; Jisu Shin 001; Sukmin Cho; Changgeon Ko; Jong C. Park (ACL (Findings), 2025)

Lossless Acceleration of Large Language Models with Hierarchical Drafting based on Temporal Locality in Speculative Decoding. - Sukmin Cho; Sangjin Choi; Taeho Hwang; Jeongyeon Seo; Soyeong Jeong; Huije Lee; Hoyun Song; Jong C. Park; Youngjin Kwon (NAACL (Findings), 2025)

A Multi-Task Benchmark for Abusive Language Detection in Low-Resource Settings. - Fitsum Gaim; Hoyun Song; Huije Lee; Changgeon Ko; Eui Jun Hwang; Jong C. Park (CoRR, 2025)

Temporal Information Retrieval via Time-Specifier Model Merging. - SeungYoon Han; Taeho Hwang; Sukmin Cho; Soyeong Jeong; Hoyun Song; Huije Lee; Jong C. Park (CoRR, 2025)