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arXiv 2512.02402cs.CLcs.HC
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TaleFrame: 一个具有细粒度控制和大型语言模型的交互式故事生成系统

TaleFrame: An Interactive Story Generation System with Fine-Grained Control and Large Language Models

the College of Computer Science and Technology, Zhejiang University of Technology(浙江工业大学计算机科学与技术学院);Zhejiang Key Laboratory of Visual Information Intelligent Processing(浙江省视觉信息智能处理重点实验室)

Yunchao Wang, Guodao Sun, Zihang Fu, Zhehao Liu, Kaixing Du, Haidong Gao, Ronghua Liang

AI总结:

TaleFrame通过结合大型语言模型和人机交互技术,实现对故事生成过程的细粒度控制,提供结构化框架和直观界面,使用户能够创建、编辑并迭代优化故事内容。

摘要:

随着自然语言生成(NLG)技术的进步,创造性的故事生成系统越来越受到关注。然而,当前的系统常常无法准确地将用户意图转化为满意的故事情节输出,这是因为缺乏细粒度的控制和不明确的输入规范,限制了其适用性。为此,我们提出了TaleFrame,一个结合大型语言模型(LLMs)和人机交互(HCI)的系统,通过结构化信息生成故事,从而能够精确地控制生成过程。TaleFrame的创新之处在于将故事结构分解为四个基本单元:实体、事件、关系和故事大纲。我们利用Tinystories数据集,解析并构建了一个包含9,851个JSON格式条目的偏好数据集,然后用于微调本地Llama模型。通过采用这种JSON2Story方法,结构化数据被转换为连贯的故事。TaleFrame还提供了一个直观的界面,使用户能够创建和编辑实体和事件,并通过结构化框架生成故事。用户可以通过简单的交互(例如拖放、附加和连接)来控制这些单元,从而影响故事的细节和进展。生成的故事可以在七个维度(例如创造力、结构完整性)上进行评估,系统根据这些评估提供改进建议。用户可以迭代调整故事,直到获得满意的结果。最后,我们进行了定量评估和用户研究,证明了TaleFrame的有用性。数据集可在https://huggingface.co/datasets/guodaosun/tale-frame上获取。

英文摘要:

With the advancement of natural language generation (NLG) technologies, creative story generation systems have gained increasing attention. However, current systems often fail to accurately translate user intent into satisfactory story outputs due to a lack of fine-grained control and unclear input specifications, limiting their applicability. To address this, we propose TaleFrame, a system that combines large language models (LLMs) with human-computer interaction (HCI) to generate stories through structured information, enabling precise control over the generation process. The innovation of TaleFrame lies in decomposing the story structure into four basic units: entities, events, relationships, and story outline. We leverage the Tinystories dataset, parsing and constructing a preference dataset consisting of 9,851 JSON-formatted entries, which is then used to fine-tune a local Llama model. By employing this JSON2Story approach, structured data is transformed into coherent stories. TaleFrame also offers an intuitive interface that supports users in creating and editing entities and events and generates stories through the structured framework. Users can control these units through simple interactions (e.g., drag-and-drop, attach, and connect), thus influencing the details and progression of the story. The generated stories can be evaluated across seven dimensions (e.g., creativity, structural integrity), with the system providing suggestions for refinement based on these evaluations. Users can iteratively adjust the story until a satisfactory result is achieved. Finally, we conduct quantitative evaluation and user studies that demonstrate the usefulness of TaleFrame. Dataset available at https://huggingface.co/datasets/guodaosun/tale-frame.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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