| 2026 | ACL | Social Dynamics as Critical Vulnerabilities that Undermine Objective Decision-Making in LLM Collectives. | Changgeon Ko, Jisu Shin, Hoyun Song, Huije Lee, Eui Jun Hwang, Jong C. Park |
| 2026 | ACL | Semantic Hardness Is Not Visual Hardness: Sign-Aware Hard Negative Mining for Sign Language Retrieval. | Junmyeong Lee, Chan Hur, ChangSu Choi, Sukmin Cho, Fitsum Gaim, Eui Jun Hwang, Hoyun Song, KyungTae Lim |
| 2026 | ACL | Beyond Static Benchmarks: Synthesizing Harmful Content via Persona-based Simulation for Robust Evaluation. | Huije Lee, Jisu Shin, Hoyun Song, Changgeon Ko, Jong C. Park |
| 2026 | ACL | RoleConflictBench: A Benchmark of Role Conflict Scenarios for Evaluating LLMs' Contextual Sensitivity. | Jisu Shin, Hoyun Song, Juhyun Oh, Changgeon Ko, Eunsu Kim, Chani Jung, Alice Oh |
| 2026 | EACL | TReX: Tokenizer Regression for Optimal Data Mixture. | Inho Won, Hangyeol Yoo, Minkyung Cho, Jungyeul Park, Hoyun Song, KyungTae Lim |
| 2025 | ACL | Spotting Out-of-Character Behavior: Atomic-Level Evaluation of Persona Fidelity in Open-Ended Generation. | Jisu Shin, Juhyun Oh, Eunsu Kim, Hoyun Song, Alice Oh |
| 2025 | ACL | EXIT: Context-Aware Extractive Compression for Enhancing Retrieval-Augmented Generation. | Taeho Hwang, Sukmin Cho, Soyeong Jeong, Hoyun Song, SeungYoon Han, Jong C. Park |
| 2025 | ACL | Does Rationale Quality Matter? Enhancing Mental Disorder Detection via Selective Reasoning Distillation. | Hoyun Song, Huije Lee, Jisu Shin, Sukmin Cho, Changgeon Ko, Jong C. Park |
| 2025 | NAACL | 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 |
| 2024 | ACL | Ask LLMs Directly, "What shapes your bias?": Measuring Social Bias in Large Language Models. | Jisu Shin, Hoyun Song, Huije Lee, Soyeong Jeong, Jong Park |
| 2024 | EMNLP | Towards Effective Counter-Responses: Aligning Human Preferences with Strategies to Combat Online Trolling. | Huije Lee, Hoyun Song, Jisu Shin, Sukmin Cho, SeungYoon Han, Jong Park |
| 2023 | ACL | A Simple and Flexible Modeling for Mental Disorder Detection by Learning from Clinical Questionnaires. | Hoyun Song, Jisu Shin, Huije Lee, Jong Park |
| 2023 | IJCNLP | Generation of Korean Offensive Language by Leveraging Large Language Models via Prompt Design. | Jisu Shin, Hoyun Song, Huije Lee, Fitsum Gaim, Jong Park |
| 2022 | LREC | ELF22: A Context-based Counter Trolling Dataset to Combat Internet Trolls. | Huije Lee, Young Ju Na, Hoyun Song, Jisu Shin, Jong C. Park |
| 2021 | CoNLL | A Large-scale Comprehensive Abusiveness Detection Dataset with Multifaceted Labels from Reddit. | Hoyun Song, Soo Hyun Ryu, Huije Lee, Jong C. Park |
| 2021 | PACLIC | 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 |
| 2018 | PACLIC | Feature Attention Network: Interpretable Depression Detection from Social Media. | Hoyun Song, Jinseon You, Jin-Woo Chung, Jong C. Park |