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When Top-K Misses the Decision: Tool-Call Drift in Multi-Teacher On-Policy Distillation

Shen, Jiabin et al.
arXiv (All) · Papers
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computation-and-languagemachine-learning
Top-$K$ teacher logits make on-policy distillation tractable, but retained teacher mass does not certify student-relative gradient fidelity. We study routed, two-teacher tool-use distillation. In a frozen Qwen3.5-9B audit, the tool teacher ranks the entry token first on 500 tool prompts, and top-32
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