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cs.CL2025

Don't Adapt Small Language Models for Tools; Adapt Tool Schemas to the Models

Jonggeun Lee, Woojung Song, Jongwook Han +2

Small language models (SLMs) enable scalable tool-augmented multi-agent systems where multiple SLMs handle subtasks orchestrated by a powerful coordinator. However, they struggle w…

cs.CL2025

Quantifying Data Contamination in Psychometric Evaluations of LLMs

Jongwook Han, Woojung Song, Jonggeun Lee +1

Recent studies apply psychometric questionnaires to Large Language Models (LLMs) to assess high-level psychological constructs such as values, personality, moral foundations, and d…

cs.CL2025

Dual Mechanisms of Value Expression: Intrinsic vs. Prompted Values in Large Language Models

Jongwook Han, Jongwon Lim, Injin Kong +1

Large language models can express values in two main ways: (1) intrinsic expression, reflecting the model's inherent values learned during training, and (2) prompted expression, el…

cs.CL2025

Human Psychometric Questionnaires Mischaracterize LLM Behavior

Woojung Song, Dongmin Choi, Yoonah Park +3

We examine whether human psychometric questionnaires can serve as reliable tools for characterizing and predicting LLM behavior in everyday user interactions. We analyze eight open…

cs.CL2025

Value Portrait: Assessing Language Models' Values through Psychometrically and Ecologically Valid Items

Jongwook Han, Dongmin Choi, Woojung Song +2

The importance of benchmarks for assessing the values of language models has been pronounced due to the growing need of more authentic, human-aligned responses. However, existing b…

cs.CL2025

PVP: An Image Dataset for Personalized Visual Persuasion with Persuasion Strategies, Viewer Characteristics, and Persuasiveness Ratings

Junseo Kim, Jongwook Han, Dongmin Choi +3

Visual persuasion, which uses visual elements to influence cognition and behaviors, is crucial in fields such as advertising and political communication. With recent advancements i…