3 papers
cs.AI2026
Reading the Room: Foundations, Design, and Challenges of Normative Competence in LLMs
Andrea Wynn, Harsh Satija, Seokhyun +4
Human communities are governed by normative systems: shared standards that produce \textit{norms} dictating acceptable behavior, enforced through community sanctioning. Aligning in…
cs.CL2025
Personality Vector: Modulating Personality of Large Language Models by Model Merging
Seungjong Sun, Seo Yeon Baek, Jang Hyun Kim
Driven by the demand for personalized AI systems, there is growing interest in aligning the behavior of large language models (LLMs) with human traits such as personality. Previous…
cs.CL2024
Kiss up, Kick down: Exploring Behavioral Changes in Multi-modal Large Language Models with Assigned Visual Personas
Seungjong Sun, Eungu Lee, Seo Yeon Baek +5
This study is the first to explore whether multi-modal large language models (LLMs) can align their behaviors with visual personas, addressing a significant gap in the literature t…