Jisu Shin
Orcid: 0009-0001-0592-7927Affiliations:
- Korea Advanced Institute of Science and Technology (KAIST), Daejon, Korea
According to our database1,
Jisu Shin authored at least 22 papers
between 2018 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2026
Distilling Long-CoT Reasoning through Collaborative Step-wise Multi-Teacher Decoding.
CoRR, May, 2026
Every Error has Its Magnitude: Asymmetric Mistake Severity Training for Multiclass Multiple Instance Learning.
CoRR, March, 2026
MentalBench: A Benchmark for Evaluating Psychiatric Diagnostic Capability of Large Language Models.
CoRR, February, 2026
Diagnose Like A REAL Pathologist: An Uncertainty-Focused Approach for Trustworthy Multi-Resolution Multiple Instance Learning.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026
Beyond Static Benchmarks: Synthesizing Harmful Content via Persona-based Simulation for Robust Evaluation.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026
Social Dynamics as Critical Vulnerabilities that Undermine Objective Decision-Making in LLM Collectives.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026
2025
Diagnose Like A REAL Pathologist: An Uncertainty-Focused Approach for Trustworthy Multi-Resolution Multiple Instance Learning.
CoRR, November, 2025
RoleConflictBench: A Benchmark of Role Conflict Scenarios for Evaluating LLMs' Contextual Sensitivity.
CoRR, September, 2025
Entangled in Representations: Mechanistic Investigation of Cultural Biases in Large Language Models.
CoRR, August, 2025
CoRR, July, 2025
Does Rationale Quality Matter? Enhancing Mental Disorder Detection via Selective Reasoning Distillation.
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
2018
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2018