作者位次 #2/7ACL 2026Poster· Natural Language Processing
Unlocking Implicit Experience: Synthesizing Tool-Use Trajectories from Text
Zhihao Xu · Rumei Li · Jiahuan Li · Rongxiang Weng · Jingang Wang · Xunliang Cai · Xiting Wang
摘要
Enabling Large Language Models (LLMs) to effectively utilize tools in multi-turn interactions is essential for building capable autonomous agents. However, acquiring diverse and realistic multi-turn tool-use data remains a significant challenge. In this work, we propose a novel text-based paradig...