Haoxiang Gao

AdaptFlow: Adaptive Workflow Optimization via Meta-Learning

Recent advances in large language models (LLMs) have sparked growing interest in agentic workflows—structured sequences of LLM invocations designed to solve complex tasks. However, existing approaches often rely on static templates or manually designed workflows, which limit adaptability to diverse