作者位次 #3/6ACL 2026Poster· Natural Language Processing
T ool S cope: Enhancing LLM Agent Tool Use through Tool Merging and Context-Aware Filtering
Marianne Menglin Liu · Daniel Garcia · Fjona Parllaku · Vikas Upadhyay · Syed Fahad Allam Shah · Dan Roth
摘要
Large language model (LLM) agents rely on external tools to solve complex tasks, but real-world toolsets often contain redundant tools with overlapping names and descriptions, introducing ambiguity and reducing selection accuracy. LLMs also face strict input context limits, preventing efficient c...