作者位次 #2/6ACL 2026Findings· Findings of ACL
E nv S caler: Scaling Tool-Interactive Environments for LLM Agent via Programmatic Synthesis
Xiaoshuai Song · Haofei Chang · Guanting Dong · Yutao Zhu · Ji-Rong Wen · Zhicheng Dou
摘要
Large language models (LLMs) are expected to be trained to act as agents in various real-world environments, but this process relies on rich and varied tool-interaction sandboxes. However, access to real systems is often restricted; LLM-simulated environments are prone to hallucinations and incon...