arxiv
PublishedOctober 15, 2026 at 4:00 AM
Function-Space Temporal Self-Distillation for Policy Optimization
Publisher summary· verbatim
arXiv:2610.19687v1 Announce Type: cross Abstract: Reinforcement Learning with Verifiable Rewards (RLVR) improves reasoning in language models, but scalar outcomes provide coarse supervision over response trajectories. Self-distillation offers denser token-level guidance by comparing an unassisted po
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Originally published on arxiv ↗