No AI summary available for this article.
Why It Matters
LLMs are increasingly used in social simulations for socially interactive agents and robots, offering more flexibility than rule-based systems.
Provenance
Discovered via ArXiv and published by ArXiv.
Key Claims
Original description
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 dialogue generation compared with instruction prompting alone. We fine-tune two small open-weight LLMs, Qwen2.5-7B-Instruct and Ministral-8B-Instruct, using a corpus that combines personality-labelle...
Discovered via ArXiv
Research papers and preprints from arXiv.
Publisher: arxiv.org
ID: http://arxiv.org/abs/2609.21857v1 · Indexed about 8 hours ago