Papers by Kiwoong Park
Are they lovers or friends? Evaluating LLMs’ Social Reasoning in English and Korean Dialogues (2026.acl-long)
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Eunsu Kim, Junyeong Park, Juhyun Oh, Kiwoong Park, Seyoung Song, A. Seza Doğruöz, Alice Oh, Najoung Kim
| Challenge: | Existing studies on LLMs' ability to infer social relationships have limited results for Korean and English. |
| Approach: | They propose a social reasoning task based on a 1.1k-dialogue dataset in English and Korean sourced from movie scripts to evaluate LLMs' ability to infer the social relationships between speakers. |
| Outcome: | The proposed task evaluates the ability of LLMs to infer the social relationships between speakers in 1.1k-dialogue datasets in English and Korean. |
Suicidal Risk Detection for Military Personnel (2020.emnlp-main)
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| Challenge: | a dataset of 2,791 posts with 13,955 expert annotations of suicidal risk levels is available for research . Suicide is one of the major causes of death in the military. |
| Approach: | They analyze posts related to military service in the Republic of Korea and annotate them with military experts and mental health experts. |
| Outcome: | The proposed method predicts the level of suicide risk, reaching .88 F1 for classifying the risks. |
LoCar: Localization-Aware Evaluation of In-Vehicle Assistants through Fine-Grained Sociolinguistic Control (2026.acl-industry)
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| Challenge: | Using Large Language Models (LLMs) is challenging due to lack of domain-specific evaluation standards . current LLMs prioritize reasoning or knowledge over sociolinguistic nuances vital for automotive settings . |
| Approach: | They propose a framework for evaluation of Korean-language in-vehicle assistants . they propose to evaluate fine-grained Korean honorific control and safetycritical response behavior . |
| Outcome: | The proposed evaluation framework evaluates fine-grained honorific control, safetycritical response behavior, and task efficiency in deployment-aligned settings. |