Hoyun Song

29 papers B 2C 2Journal 16Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
MentalBench: A Benchmark for Evaluating Psychiatric Diagnostic Capability of Large Language Models.
CoRR
Hoyun Song, Migyeong Kang, Jisu Shin, Jihyun Kim, Chanbi Park, Hangyeol Yoo, Jihyun An, Alice Oh, Jinyoung Han, Kyungtae Lim
2026 J jnl
TREX: Tokenizer Regression for Optimal Data Mixture.
CoRR
Inho Won, Hangyeol Yoo, Minkyung Cho, Jungyeul Park, Hoyun Song, Kyungtae Lim
2026 — conf
TReX: Tokenizer Regression for Optimal Data Mixture.
EACL (Volume 1: Long Papers)
Inho Won, Hangyeol Yoo, Minkyung Cho, Jungyeul Park, Hoyun Song, Kyungtae Lim
2025 J jnl
A Multi-Task Benchmark for Abusive Language Detection in Low-Resource Settings.
CoRR
Fitsum Gaim, Hoyun Song, Huije Lee, Changgeon Ko, Eui Jun Hwang, Jong C. Park
2025 — conf
Does Rationale Quality Matter? Enhancing Mental Disorder Detection via Selective Reasoning Distillation.
ACL (Findings)
Hoyun Song, Huije Lee, Jisu Shin, Sukmin Cho, Changgeon Ko, Jong C. Park
2025 J jnl
Does Rationale Quality Matter? Enhancing Mental Disorder Detection via Selective Reasoning Distillation.
CoRR
Hoyun Song, Huije Lee, Jisu Shin, Sukmin Cho, Changgeon Ko, Jong C. Park
2025 — conf
EXIT: Context-Aware Extractive Compression for Enhancing Retrieval-Augmented Generation.
ACL (Findings)
Taeho Hwang, Sukmin Cho, Soyeong Jeong, Hoyun Song, Seungyoon Han, Jong C. Park
2025 J jnl
KORMo: Korean Open Reasoning Model for Everyone.
CoRR
Minjun Kim, HyeonSeok Lim, Hangyeol Yoo, Inho Won, Seungwoo Song, Minkyung Cho, Junhun Yuk, ChangSu Choi, Dongjae Shin, Huige Lee, Hoyun Song, Alice Oh, Kyungtae Lim
2025 — conf
Lossless Acceleration of Large Language Models with Hierarchical Drafting based on Temporal Locality in Speculative Decoding.
NAACL (Findings)
Sukmin Cho, Sangjin Choi, Taeho Hwang, Jeongyeon Seo, Soyeong Jeong, Huije Lee, Hoyun Song, Jong C. Park, Youngjin Kwon
2025 J jnl
Lossless Acceleration of Large Language Models with Hierarchical Drafting based on Temporal Locality in Speculative Decoding.
CoRR
Sukmin Cho, Sangjin Choi, Taeho Hwang, Jeongyeon Seo, Soyeong Jeong, Huije Lee, Hoyun Song, Jong C. Park, Youngjin Kwon
2025 J jnl
MENTOR: A Reinforcement Learning Framework for Enabling Tool Use in Small Models via Teacher-Optimized Rewards.
CoRR
ChangSu Choi, Hoyun Song, Dongyeon Kim, WooHyeon Jung, Minkyung Cho, Sunjin Park, NohHyeob Bae, Seona Yu, Kyungtae Lim
2025 J jnl
RoleConflictBench: A Benchmark of Role Conflict Scenarios for Evaluating LLMs' Contextual Sensitivity.
CoRR
Jisu Shin, Hoyun Song, Juhyun Oh, Changgeon Ko, Eunsu Kim, Chani Jung, Alice Oh
2025 — conf
Spotting Out-of-Character Behavior: Atomic-Level Evaluation of Persona Fidelity in Open-Ended Generation.
ACL (Findings)
Jisu Shin, Juhyun Oh, Eunsu Kim, Hoyun Song, Alice Oh
2025 J jnl
Spotting Out-of-Character Behavior: Atomic-Level Evaluation of Persona Fidelity in Open-Ended Generation.
CoRR
Jisu Shin, Juhyun Oh, Eunsu Kim, Hoyun Song, Alice Oh
2025 J jnl
Temporal Information Retrieval via Time-Specifier Model Merging.
CoRR
Seungyoon Han, Taeho Hwang, Sukmin Cho, Soyeong Jeong, Hoyun Song, Huije Lee, Jong C. Park
2024 — conf
Ask LLMs Directly, "What shapes your bias?": Measuring Social Bias in Large Language Models.
ACL (Findings)
Jisu Shin, Hoyun Song, Huije Lee, Soyeong Jeong, Jong Park
2024 J jnl
Ask LLMs Directly, "What shapes your bias?": Measuring Social Bias in Large Language Models.
CoRR
Jisu Shin, Hoyun Song, Huije Lee, Soyeong Jeong, Jong C. Park
2024 J jnl
Different Bias Under Different Criteria: Assessing Bias in LLMs with a Fact-Based Approach.
CoRR
Changgeon Ko, Jisu Shin, Hoyun Song, Jeongyeon Seo, Jong C. Park
2024 J jnl
EXIT: Context-Aware Extractive Compression for Enhancing Retrieval-Augmented Generation.
CoRR
Taeho Hwang, Sukmin Cho, Soyeong Jeong, Hoyun Song, Seungyoon Han, Jong C. Park
2024 — conf
Towards Effective Counter-Responses: Aligning Human Preferences with Strategies to Combat Online Trolling.
EMNLP (Findings)
Huije Lee, Hoyun Song, Jisu Shin, Sukmin Cho, Seungyoon Han, Jong Park
2024 J jnl
Towards Effective Counter-Responses: Aligning Human Preferences with Strategies to Combat Online Trolling.
CoRR
Huije Lee, Hoyun Song, Jisu Shin, Sukmin Cho, Seungyoon Han, Jong C. Park
2023 — conf
A Simple and Flexible Modeling for Mental Disorder Detection by Learning from Clinical Questionnaires.
ACL (1)
Hoyun Song, Jisu Shin, Huije Lee, Jong Park
2023 J jnl
A Simple and Flexible Modeling for Mental Disorder Detection by Learning from Clinical Questionnaires.
CoRR
Hoyun Song, Jisu Shin, Huije Lee, Jong C. Park
2023 — conf
Generation of Korean Offensive Language by Leveraging Large Language Models via Prompt Design.
IJCNLP (1)
Jisu Shin, Hoyun Song, Huije Lee, Fitsum Gaim, Jong Park
2022 B conf
ELF22: A Context-based Counter Trolling Dataset to Combat Internet Trolls.
LREC
Huije Lee, Young Ju Na, Hoyun Song, Jisu Shin, Jong C. Park
2022 J jnl
ELF22: A Context-based Counter Trolling Dataset to Combat Internet Trolls.
CoRR
Huije Lee, Young Ju Na, Hoyun Song, Jisu Shin, Jong C. Park
2021 B conf
A Large-scale Comprehensive Abusiveness Detection Dataset with Multifaceted Labels from Reddit.
CoNLL
Hoyun Song, Soo Hyun Ryu, Huije Lee, Jong C. Park
2021 C conf
Optimizing Domain Specificity of Transformer-based Language Models for Extractive Summarization of Financial News Articles in Korean.
PACLIC
Huije Lee, Wonsuk Yang, ChaeHun Park, Hoyun Song, Eugene Jang, Jong C. Park
2018 C conf
Feature Attention Network: Interpretable Depression Detection from Social Media.
PACLIC
Hoyun Song, Jinseon You, Jin-Woo Chung, Jong C. Park