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新框架AdaMARP提升LLM角色扮演沉浸感

研究人员开发了AdaMARP,一个新颖的自适应多智能体交互框架,旨在增强大型语言模型(LLM)角色扮演场景的沉浸感和适应性。该框架引入了一种沉浸式消息格式和一个场景管理器来管理角色扮演动作、场景转换和角色介绍。实验表明,AdaMARP,特别是使用8B actor模型时,提高了角色一致性和叙事连贯性,并且一个使用AdaSMSet的14B LLM在协调角色扮演交互方面优于Claude Sonnet 4.5。 AI

影响 增强了LLM角色扮演的沉浸感和适应性,可能改善交互式叙事体验。

排序理由 该集群包含一篇详细介绍LLM角色扮演新框架的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CL 阅读 →

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新框架AdaMARP提升LLM角色扮演沉浸感

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该集群包含一篇详细介绍LLM角色扮演新框架的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CL TIER_1 English(EN) · Zhenhua Xu, Dongsheng Chen, Shuo Wang, Jian Li, Chengjie Wang, Meng Han, Yabiao Wang ·

    AdaMARP:一种用于通用沉浸式角色扮演的自适应多智能体交互框架

    arXiv:2601.11007v2 Announce Type: replace-cross Abstract: LLM role-playing aims to portray arbitrary characters in interactive narratives, yet existing systems often suffer from limited immersion and adaptability. They typically under-model dynamic environmental information and a…