7 citations · 7 across the 4 of their papers we have counts for
4 papers
Jailbreaking Multimodal Large Language Models using Multi-Clip Video
Choongwon Kang, Seungjong Sun, Hyunmin Jun +1
As multimodal large language models (MLLMs) have advanced to process video inputs, concerns have emerged about their potential for malicious misuse. Prior jailbreak studies have sh…
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…
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…
Random Silicon Sampling: Simulating Human Sub-Population Opinion Using a Large Language Model Based on Group-Level Demographic Information
Seungjong Sun, Eungu Lee, Dongyan Nan +4
Large language models exhibit societal biases associated with demographic information, including race, gender, and others. Endowing such language models with personalities based on…