Supervised Fine-Tuning for Reasoning Large Language Models: A Survey
arXiv:2610.37681v1 Announce Type: new Abstract: Large reasoning models have recently demonstrated remarkable capabilities in solving complex tasks, where supervised fine-tuning (SFT) on long chain-of-thought data serves as a crucial foundation for eliciting and enhancing their reasoning abilities. D
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Quelle: arXiv cs.CL (arXiv cs.CL). Original öffnen