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arXiv 2607.17250cs.CL

EvolvingWorld:用于交互式文学世界中角色与世界模型协同进化的开放架构框架

EvolvingWorld: An Open-Schema Framework for Co-Evolving Role-Play Agents and World Model in Interactive Literary World

Qing Zong, Yue Guo, Mengxin Yang, Yiwen Guo, Yangqiu Song

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中文总结 AI 辅助

研究交互式文学世界中角色与世界协同进化问题,提出EvolvingWorld框架,含角色智能体和世界模型两个耦合模块,制定7个可训练任务,构建数据集并引入评估协议,实验证明其能有效改进长期模拟。

中文摘要 AI 辅助

本文介绍了EvolvingWorld,一个用于交互式文学世界中角色与世界协同进化的框架和基准。现有系统要么将交互式文学模拟视为静态角色模仿,要么视为孤立场景生成,无法捕捉角色和世界如何随时间共同进化。为解决此问题,EvolvingWorld将文学模拟建模为一个长期过程,其中角色互动、场景推进,且角色和世界状态持续更新。与依赖固定架构的先前系统不同,EvolvingWorld采用开放架构框架来支持跨不同文学世界的模拟。该框架由两个耦合模块组成:一个用于多角色角色扮演和持续角色档案进化的角色智能体,以及一个基于大语言模型的用于全局和位置/实体级状态维护及场景推进的世界模型。基于此架构,制定了7个可训练任务用于场景初始化、互动生成和状态更新。从57本书构建数据集,产生138596个监督训练样本和222个测试快照。还引入了涵盖10个维度和20个指标的轨迹级大语言模型评判评估协议。实验表明,EvolvingWorld能通过有效维持持续、连贯的角色和世界发展来改进长期模拟。

英文摘要

This paper introduces EvolvingWorld, a framework and benchmark for character and world co-evolution in interactive literary worlds. Existing systems either treat interactive literary simulation as static persona imitation or isolated scene generation, failing to capture how characters and worlds evolve together over time. To address this, EvolvingWorld models literary simulation as a long-horizon process where characters interact, scenes progress, and character and world states are persistently updated. Unlike prior systems relying on fixed schemas, EvolvingWorld adopts an open-schema framework to support simulation across diverse literary worlds. The framework consists of two coupled modules: a Character Agent for multi-character role-play and persistent profile evolution, and an LLM-based World Model for global and location/entity-level state maintenance and scene progression. Based on this architecture, we formulate 7 trainable tasks for scene initialization, interaction generation, and state update. We construct a dataset from 57 books, producing 138,596 supervised training samples and 222 snapshots for testing. Furthermore, we introduce a trajectory-level LLM-as-Judge evaluation protocol spanning 10 dimensions and 20 metrics. Experiments show that EvolvingWorld can improve long-horizon simulation by effectively maintaining persistent, coherent character and world development.

发表机构

  • Hong Kong University of Science and Technology(香港科技大学)
  • LIGHTSPEED(光速)
  • Huazhong University of Science and Technology(华中科技大学)

机构由 AI 辅助整理,请以论文原文为准。

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