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Do Personality-Tuned LLMs Make Better Social Agents?

Paper recorded by Signals 4 on 2026-09-18 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-18 on arXiv · recorded by Signals 4 on 2026-09-21

Category: cs.AI · 人工智能 · first seen 2026-09-21

Abstract

LLMs are increasingly used in social simulations for socially interactive agents and robots, offering more flexibility than rule-based systems. However, even though they mimic human behaviour very well, there is a persistent alienness to them. This work investigates whether personality-aware fine-tuning can reduce this gap by improving the consistency and controllability of personality-conditioned

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#17 most recent of 320 cs.AI papers we have recorded · ↑ newer: AutoRecLab: Describe the Experiment, Get the Code! · ↓ older: EnterpriseVal: Quantifying the Efficacy, Reliability and Value of Gene
Cite this page: Do Personality-Tuned LLMs Make Better Social Agents?: the #17 most recent of 320 cs.AI papers we have recorded (as of 2026-09-18). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/do-personality-tuned-llms-make-better-social-agents.html
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