arXiv (OAI Expanded)
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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 inte
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