一作ACL 2026Findings· Findings of ACL
A uto A gent: A Fully-Automated and Zero-Code Framework for LLM Agents
Jiabin Tang · Tianyu Fan · Chao Huang
摘要
Large Language Model (LLM) Agents have demonstrated remarkable capabilities in task automation and intelligent decision-making, driving the widespread adoption of agent development frameworks such as LangChain and AutoGen. However, these frameworks predominantly serve developers with extensive te...