作者位次 #3/5ACL 2026Poster· Natural Language Processing
F usion F low: Enabling Deep Structural Exploration for Automated Agentic Workflow Generation
Xiang Wang · Zongtao Yang · Zhuojian Hong · Shuhao Zhang · Wei Wei
摘要
Agentic workflows are commonly used to guide large language models in solving complex reasoning tasks. However, existing automated workflow generation methods primarily rely on stepwise local refinement or tree-based search over a single evolving workflow. Under limited optimization budgets, this...