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New framework AdaMARP boosts LLM role-playing immersion

Researchers have developed AdaMARP, a novel adaptive multi-agent interaction framework designed to enhance immersion and adaptability in large language model (LLM) role-playing scenarios. The framework introduces an immersive message format and a Scene Manager to govern role-playing actions, scene transitions, and character introductions. Experiments show that AdaMARP, particularly with an 8B actor model, improves character consistency and narrative coherence, and a 14B LLM utilizing AdaSMSet outperforms Claude Sonnet 4.5 in orchestrating role-playing interactions. AI

IMPACT Enhances immersion and adaptability in LLM role-playing, potentially improving interactive narrative experiences.

RANK_REASON The cluster contains a research paper detailing a new framework for LLM role-playing. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

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New framework AdaMARP boosts LLM role-playing immersion

COVERAGE [1]

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

    AdaMARP: An Adaptive Multi-Agent Interaction Framework for General Immersive Role-Playing

    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…