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News/PivotOPD: Learning to Recover from Pivotal Mistakes in Multi-Turn Agents
arxiv
PublishedOctober 1, 2026 at 4:00 AM
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PivotOPD: Learning to Recover from Pivotal Mistakes in Multi-Turn Agents

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arXiv:2609.40285v1 Announce Type: new Abstract: On-policy distillation (OPD) is a promising approach for training language agents, providing dense teacher supervision on student-generated trajectories. However, in multi-turn interaction, an incorrect action changes the states the student encounters

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