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基于应用程序接口依赖关系图路径搜索的工作流生成方法

梁冬 史骁 吕存驰 赵晓芳

高技术通讯2026,Vol.36Issue(1):41-52,12.
高技术通讯2026,Vol.36Issue(1):41-52,12.DOI:10.3772/j.issn.1002-0470.2026.01.004

基于应用程序接口依赖关系图路径搜索的工作流生成方法

Workflow generation method with path search on application programming interface dependency graph

梁冬 1史骁 2吕存驰 1赵晓芳3

作者信息

  • 1. 中国科学院计算技术研究所 北京 100190||中国科学院大学 北京 100049
  • 2. 中国科学院计算技术研究所 北京 100190||中科南京信息高铁研究院 南京 211135
  • 3. 中国科学院计算技术研究所 北京 100190||中国科学院大学 北京 100049||中国科学院大学南京学院 南京 211135||中科苏州智能计算技术研究院 苏州 215028
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摘要

Abstract

Workflow programming is increasingly becoming an important software development paradigm,and intelligent workflow generation services can offer users a more efficient development process.However,existing workflow de-velopment platforms only provide basic assistance,such as candidate node recommendations or edge connection constraints.Although large language model-driven intelligent programming services have made significant progress in code generation,there are still many challenges in the field of workflow generation.This paper analyzes the com-mon hallucination problems of large language models during workflow generation and proposes a workflow generation method based on application programming interface(API)dependency graph-guided path search.By using API dependency graph to guide the path search,the model's output decoding space is constrained,effectively mitiga-ting hallucinations.Furthermore,we introduce various path search strategies,including outbound and inbound path searches,providing a novel chain-of-thought approach for workflow generation.Experimental results show that the proposed method achieves better performance compared to previous chain-of-thought techniques,and significantly reduces model hallucinations.

关键词

工作流生成/思维链/路径搜索/大语言模型幻觉/应用程序接口依赖关系图

Key words

workflow generation/chain-of-thought/path search/large language model hallucinations/appli-cation programming interface dependency graph

引用本文复制引用

梁冬,史骁,吕存驰,赵晓芳..基于应用程序接口依赖关系图路径搜索的工作流生成方法[J].高技术通讯,2026,36(1):41-52,12.

基金项目

江苏省重大科研专项(BM2021800)和中国科学院计算技术研究所创新基金(E361060)资助项目. (BM2021800)

高技术通讯

1002-0470

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