arxiv
PublishedJune 12, 2026 at 4:00 AM
Self-Distillation Zero: Self-Revision Turns Binary Rewards into Dense Supervision
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arXiv:2604.12002v2 Announce Type: replace Abstract: Current post-training methods in verifiable settings fall into two categories. Reinforcement learning (RLVR) relies on binary rewards, which are broadly applicable and powerful, but provide only sparse supervision during training. Distillation prov
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Originally published on arxiv ↗