Haein Yeo — accepted AI-conference papers

2026

TRIPLE: Theory-Driven Integration of Planned and Habitual Behaviors for LLM-based Personalization

Taehyung Noh, Seungwan Jin, Haein Yeo, Kyungsik Han

AAAI 2026technical

While large language model (LLM)-based user profiling offers significant potential for personalization, most existing approaches rely on empirical heuristics and lack grounding in the psychological mechanism that drive human behavior. In this paper, we introduce TRIPLE (Theory-guided Reasoning for I

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2025

PADO: Personality-induced multi-Agents for Detecting OCEAN in human-generated texts

Haein Yeo, Taehyeong Noh, Seungwan Jin, Kyungsik Han

COLING 2025main

As personality can be useful in many cases, such as better understanding people’s underlying contexts or providing personalized services, research has long focused on modeling personality from data. However, the development of personality detection models faces challenges due to the inherent latent…

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