作者位次 #2/5ACL 2026Findings· Findings of ACL
Invocation Refiner: A Plug-and-Play Module for Rectifying LLM Tool Invocations
Qirui Jiao · Dian Jiao · Nan Du · Ying Shen · Liang Lin
摘要
Large Language Models (LLMs) have shown remarkable capabilities in Tool-Integrated Reasoning (TIR). However, the practical application is often hindered by frequent errors in tool invocations, such as incorrect parameters or malformed formats. Prevailing training paradigms, such as Supervised Fin...