EvolvingWorld: Open-Schema Framework for Co-Evolving Role-Play Agents and World Models
EvolvingWorld is a framework and benchmark designed for co-evolving characters and worlds in interactive literary simulations. It features a Character Agent and an LLM-based World Model that enable persistent, long-horizon state updates across diverse literary settings. The framework is supported by a dataset derived from 57 books, comprising 138,596 training samples and 222 test snapshots, and introduces a trajectory-level evaluation protocol. Experiments indicate that EvolvingWorld can improve the coherence and persistence of character and world development over extended simulations.
Why it matters: This work represents a notable advance in interactive literary simulation by enabling dynamic, persistent co-evolution of characters and worlds, addressing limitations of prior static or isolated approaches.
Full story at: arXiv Computation and Language ↗