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Preprint Aug 2026

When Teachers Mislead: Spurious-Signal-Aware On-Policy Distillation

SA-OPD is proposed, a Spurious-Signal-Aware On-Policy Distillation framework that identifies and filters misleading token-level supervision based on input-groundedness and optimization impact, and consistently outperforms Vanilla OPD and competitive selective methods.

Yinuo Jiang, Yongjie Ye, Zhou Tao et al. · 4 citations
#artificial intelligence Preprint Aug 2026

VISTA: Verifier-Informed Student-to-Teacher Adaptation for On-Policy Self-Distillation

Verifier-Informed Student-to-Teacher Adaptation (VISTA), which preserves the standard OPSD student update while using outcome-verified rollouts to adapt the teacher toward the student distribution and demonstrates the value of student supervision from outcome-verified rollouts.

Ze-Wen Ding, Ze-Zhong Wu, Zhou Tao et al. · 0 citations

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