연구
From Static Templates to Dynamic Runtime Graphs: A Survey of Workflow Optimization for LLM Agents
arXiv:2603.22386v1 Announce Type: new Abstract: Large language model LLMbased systems are becoming increasingly popular for solving tasks by constructing executable workflows that interleave LLM calls, information retrieval, tool use, code execution, memory updates, and verification.
This content is a summary of the original article from ArXiv AI. Please visit the original site for the full article.
Read Original Article →