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DASH-OPD: Discrepancy-Aware Switching with Hysteresis for On-Policy Distillation

While on-policy distillation (OPD) reduces exposure bias by training student language models on their own rollouts, early student errors in long-horizon agentic scenarios can lead to contexts unfamiliar to the teacher. To improve trajectory quality, recent work on agentic OPD introduces teacher intervention into traini...

Yuchen Xia, Qianguo Sun, Chao Song et al. · 0 citations

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