Can LLM Agents Stick to the Script? A Benchmark for Long-Horizon Consistency in Interactive Narratives

  • 类型：arxiv
  • 标识：2608.08160
  • 链接：https://arxiv.org/abs/2608.08160
  • 主分类：evaluation
  • 形态：benchmark
  • 被引：0
  • 被引来源：Semantic Scholar
  • S2被引：0
  • 影响力被引：0
  • TLDR：This work forms this challenge as Narrative Commitment Preservation (NCP), and introduces NCP-Bench, a benchmark of 100 narrative environments derived from movie synopses that each environment includes a structured narrative specification that can automatically check throughout the interaction between the player agent and the narrator agent.
  • 副分类：agent
  • 待LLM分类：否
  • 标题中文：LLM Agent 能否照本宣科？面向交互式叙事的长程一致性基准
  • TLDR中文：本文将该挑战形式化为叙事承诺保持 (Narrative Commitment Preservation, NCP)，并提出 NCP-Bench：一个基于电影剧情梗概构建的包含 100 个叙事环境的基准，每个环境均提供可在玩家智能体与叙述者智能体交互过程中自动检查的结构化叙事规范。
  • 来源文件：
  • /inbox/tom/_candidates/2026-08-13-agent-rag-longcontext-candidates.json
  • [S2 enrich]