arxiv
PublishedOctober 3, 2026 at 4:00 AM
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Finetuning with Sampling: SFT Learns Better Than You Think
Publisher summary· verbatim
arXiv:2610.02140v1 Announce Type: new Abstract: Introducing new capabilities to frontier models has long been the goal of posttraining, which predominantly employs supervised finetuning (SFT) and reinforcement learning (RL) to this end. Conventional wisdom dictates that RL enables strong generalizat
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Originally published on arxiv ↗