Procedural Graphs: Self-Evolving Execution Structures for LLM Agents
A new research paper titled 'Procedural Graphs: Self-Evolving Execution Structures for LLM Agents' has been submitted to arXiv. The paper explores advanced methods for improving the autonomy and structure of large language model agents.
Why it matters
Advancements in LLM agent architecture are critical for increasing the reliability and capability of AI systems in complex task execution.
Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Yuxing Lu [ view email ] [v1] Tue, 8 Sep 2026 17:59:41 UTC (4,896 KB) Full-text links: Access Paper: View a PDF of the paper titled Procedural Graphs: Self-Evolving Execution Structures for LLM Agents, by Yuxing Lu and 3 other authors View PDF HTML (experimental) TeX Source view license Current browse context: cs.AI < prev | next > new | recent | 2026-09 Change to browse by: cs cs.CL cs.MA References & Citations NASA ADS Google Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation loading... Data provided by: Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer ( What is the Explorer? ) Connected Papers Toggle Connected Papers ( What is Connected Papers? ) Litmaps Toggle Litmaps ( What is Litmaps?
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