Yuanyao Li

Mitigating Tool Overuse for LLMs via Active Knowledge Boundary Probing

Tool-augmented methods aim to enhance the reasoning capabilities of large language models (LLMs) by invoking external tools, which can be broadly categorized into training-free and training-based methods. Training-free methods can directly instruct LLMs to invoke external tools, but they exhibit lim