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On-Policy Distillation with Curriculum Turn-level Guidance for Multi-turn Agents

Li, Gengsheng et al.
arXiv (All) · Papers
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machine-learning
Multi-turn agents that plan, invoke tools, and interact with environments offer a promising paradigm for solving complex tasks, yet their capabilities typically rely on very large models whose inference cost is prohibitive in practice. On-Policy Distillation (OPD) is a natural recipe for transferrin
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