Generating a long story of several thousand words with narrative coherence using Large Language Models (LLMs) has been a challenging task. Previous research has addressed this challenge by proposing different frameworks that create a story plan and generate a long story based on that plan. However, these frameworks have been mainly focusing on maintaining narrative coherence in stories, often overlooking creativity in story planning and the expressiveness of the stories generated from those plans, which are desirable properties to captivate readers' interest. In this paper, we propose Collective Critics for Creative Story Generation framework (CritiCS), which is composed of plan refining stage (CrPlan) and story generation stage (CrText), to integrate a collective revision mechanism that promotes those properties into long-form story generation process. Specifically, in each stage, a group of LLM critics and one leader collaborate to incrementally refine drafts of plan and story throughout multiple rounds. Extensive human evaluation shows that the CritiCS can significantly enhance story creativity and reader engagement, while also maintaining narrative coherence. Furthermore, the design of the framework allows active participation from human writers in any role within the critique process, enabling interactive human-machine collaboration in story writing.

翻译：利用大型语言模型生成具有叙事连贯性的数千字长故事一直是一项具有挑战性的任务。先前的研究通过提出不同的框架来应对这一挑战，这些框架先创建故事大纲，再基于该大纲生成长篇故事。然而，这些框架主要侧重于维持故事的叙事连贯性，往往忽视了故事大纲的创意性以及基于这些大纲生成的故事的表现力，而这些特性对于吸引读者兴趣至关重要。在本文中，我们提出了集体评审机制驱动的创意故事生成框架（CritiCS），该框架由计划精炼阶段（CrPlan）和故事生成阶段（CrText）构成，旨在将一种促进上述特性的集体修订机制整合到长篇故事生成过程中。具体而言，在每个阶段，一组LLM评审员与一名领导者协作，通过多轮迭代逐步精炼故事大纲和故事草稿。广泛的人工评估表明，CritiCS能够显著提升故事的创意性和读者参与度，同时保持叙事连贯性。此外，该框架的设计允许人类写作者以任何角色积极参与评审过程，从而实现了故事创作中的人机交互协作。