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Self-Distillation Zero: Self-Revision Turns Binary Rewards into Dense Supervision

Via ArXiv cs.CL
Wednesday, Apr 15, 2026 · 4:00AM
Summary

arXiv:2604.12002v1 Announce Type: new 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 provides

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