Mitigating Tool Overuse for LLMs via Active Knowledge Boundary Probing
Zhaoyu Yang, Wenjun Ke, Yuanyao Li et al.
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This work pro-poses the D iscriminative-to-G enerative ( D2G ) framework, which first leverages discriminative models to produce a top-k set of candidate relations, and then integrates this knowledge into generative models via in-context or prompt learning.