arxiv
PublishedJuly 30, 2026 at 4:00 AM
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Similar Models Learn Differently: Final-Window Pretraining Shapes Post-Training Beyond SFT
Publisher summary· verbatim
arXiv:2607.25063v1 Announce Type: new Abstract: Developers judge a model checkpoint by how it behaves. After supervised fine-tuning (SFT), two checkpoints that perform about the same across relevant benchmarks are treated as interchangeable, equally ready for the next alignment stage, typically pref
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Originally published on arxiv ↗