Hoyun Song
According to our database1,
Hoyun Song authored at least 25 papers
between 2018 and 2026.
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Bibliography
2026
Beyond Static Benchmarks: Synthesizing Harmful Content via Persona-based Simulation for Robust Evaluation.
CoRR, April, 2026
Social Dynamics as Critical Vulnerabilities that Undermine Objective Decision-Making in LLM Collectives.
CoRR, April, 2026
MentalBench: A Benchmark for Evaluating Psychiatric Diagnostic Capability of Large Language Models.
CoRR, February, 2026
Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026
2025
MENTOR: A Reinforcement Learning Framework for Enabling Tool Use in Small Models via Teacher-Optimized Rewards.
CoRR, October, 2025
RoleConflictBench: A Benchmark of Role Conflict Scenarios for Evaluating LLMs' Contextual Sensitivity.
CoRR, September, 2025
CoRR, May, 2025
Lossless Acceleration of Large Language Models with Hierarchical Drafting based on Temporal Locality in Speculative Decoding.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025
Does Rationale Quality Matter? Enhancing Mental Disorder Detection via Selective Reasoning Distillation.
Proceedings of the Findings of the Association for Computational Linguistics, 2025
EXIT: Context-Aware Extractive Compression for Enhancing Retrieval-Augmented Generation.
Proceedings of the Findings of the Association for Computational Linguistics, 2025
Spotting Out-of-Character Behavior: Atomic-Level Evaluation of Persona Fidelity in Open-Ended Generation.
Proceedings of the Findings of the Association for Computational Linguistics, 2025
2024
Different Bias Under Different Criteria: Assessing Bias in LLMs with a Fact-Based Approach.
CoRR, 2024
Towards Effective Counter-Responses: Aligning Human Preferences with Strategies to Combat Online Trolling.
CoRR, 2024
Ask LLMs Directly, "What shapes your bias?": Measuring Social Bias in Large Language Models.
CoRR, 2024
Towards Effective Counter-Responses: Aligning Human Preferences with Strategies to Combat Online Trolling.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Ask LLMs Directly, "What shapes your bias?": Measuring Social Bias in Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
2023
A Simple and Flexible Modeling for Mental Disorder Detection by Learning from Clinical Questionnaires.
CoRR, 2023
Generation of Korean Offensive Language by Leveraging Large Language Models via Prompt Design.
Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023
A Simple and Flexible Modeling for Mental Disorder Detection by Learning from Clinical Questionnaires.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
2022
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022
2021
Optimizing Domain Specificity of Transformer-based Language Models for Extractive Summarization of Financial News Articles in Korean.
Proceedings of the 35th Pacific Asia Conference on Language, Information and Computation, 2021
A Large-scale Comprehensive Abusiveness Detection Dataset with Multifaceted Labels from Reddit.
Proceedings of the 25th Conference on Computational Natural Language Learning, 2021
2018
Proceedings of the 32nd Pacific Asia Conference on Language, Information and Computation, 2018