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News/What Should SFT Learn? Conditional Information Gain for Generalizable Post-Training
arxiv
PublishedOctober 13, 2026 at 4:00 AM

What Should SFT Learn? Conditional Information Gain for Generalizable Post-Training

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arXiv:2610.12995v1 Announce Type: cross Abstract: Supervised fine-tuning (SFT) remains a widely used approach for post-training large language models, because fixed demonstrations can directly introduce desired reasoning strategies and behavioral patterns. Yet forcing a model to imitate externally p

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