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Autori principali: Sun, Seungjong, Lee, Eungu, Baek, Seo Yeon, Hwang, Seunghyun, Lee, Wonbyung, Nan, Dongyan, Jansen, Bernard J., Kim, Jang Hyun
Natura: Preprint
Pubblicazione: 2024
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Accesso online:https://arxiv.org/abs/2410.03181
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author Sun, Seungjong
Lee, Eungu
Baek, Seo Yeon
Hwang, Seunghyun
Lee, Wonbyung
Nan, Dongyan
Jansen, Bernard J.
Kim, Jang Hyun
author_facet Sun, Seungjong
Lee, Eungu
Baek, Seo Yeon
Hwang, Seunghyun
Lee, Wonbyung
Nan, Dongyan
Jansen, Bernard J.
Kim, Jang Hyun
contents 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 that predominantly focuses on text-based personas. We developed a novel dataset of 5K fictional avatar images for assignment as visual personas to LLMs, and analyzed their negotiation behaviors based on the visual traits depicted in these images, with a particular focus on aggressiveness. The results indicate that LLMs assess the aggressiveness of images in a manner similar to humans and output more aggressive negotiation behaviors when prompted with an aggressive visual persona. Interestingly, the LLM exhibited more aggressive negotiation behaviors when the opponent's image appeared less aggressive than their own, and less aggressive behaviors when the opponents image appeared more aggressive.
format Preprint
id arxiv_https___arxiv_org_abs_2410_03181
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Kiss up, Kick down: Exploring Behavioral Changes in Multi-modal Large Language Models with Assigned Visual Personas
Sun, Seungjong
Lee, Eungu
Baek, Seo Yeon
Hwang, Seunghyun
Lee, Wonbyung
Nan, Dongyan
Jansen, Bernard J.
Kim, Jang Hyun
Computation and Language
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 that predominantly focuses on text-based personas. We developed a novel dataset of 5K fictional avatar images for assignment as visual personas to LLMs, and analyzed their negotiation behaviors based on the visual traits depicted in these images, with a particular focus on aggressiveness. The results indicate that LLMs assess the aggressiveness of images in a manner similar to humans and output more aggressive negotiation behaviors when prompted with an aggressive visual persona. Interestingly, the LLM exhibited more aggressive negotiation behaviors when the opponent's image appeared less aggressive than their own, and less aggressive behaviors when the opponents image appeared more aggressive.
title Kiss up, Kick down: Exploring Behavioral Changes in Multi-modal Large Language Models with Assigned Visual Personas
topic Computation and Language
url https://arxiv.org/abs/2410.03181