arxiv
PublishedJune 3, 2026 at 4:00 AM
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Filter, Then Reweight: Rethinking Optimization Granularity in On-Policy Distillation
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arXiv:2606.02684v1 Announce Type: cross Abstract: On-Policy distillation (OPD) in large language models is shifting from full-trace KL supervision toward more selective training paradigms. Recent OPD methods increasingly focus on selecting which trajectories to learn from, which tokens are most info
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Originally published on arxiv ↗