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Diagnosing and Calibrating Tool-Call Boundary Drift in Multi-Teacher On-Policy Distillation

3 upvotes · 15 JUL 2026 · Jiabin Shen, Guang Chen, Chengjun Mao

This paper addresses a common issue in agentic language models where they may over-call tools, leading to suboptimal performance. A practitioner might care about this problem because it can negatively impact the model's ability to provide accurate and efficient responses.

multi-teacher on-policy distillationcontinual learningtool-call boundary driftlanguage modelscalibration