作者位次 #4/7ACL 2026Poster· Natural Language Processing
L oop T ool: Closing the Data–Training Loop for Robust LLM Tool Calls
Kangning Zhang · Weiwen Liu · Wenxiang Jiao · Kounianhua Du · Yuan Lu · Ruiming Tang (Huawei Noah' · s Ark Lab)
摘要
Augmenting Large Language Models (LLMs) with external tools enables them to execute complex, multi-step tasks. However, tool learning is hampered by the static synthetic data pipelines, where data generation and model training are executed as two separate, non-interactive processes. This approach...