Representational quality accounts for RL models’ superior mathematical reasoning performance over SFT fine-tuned models
Read the original at arxiv.org→arXiv:2607.26119v1 Announce Type: new Abstract: Large reasoning models trained via reinforcement learning (RL) have been increasingly shown to outperform their supervised fine-tuned (SFT) counterparts on...
Original headline: "Probing the Origins of Reasoning Performance: Representational Quality for Mathematical Problem-Solving in RL vs. SFT Fine-Tuned Models"
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- Jul 30, 04:00 UTC arXiv cs.AI lead source Probing the Origins of Reasoning Performance: Representational Quality for Mathematical Problem-Solving in RL vs. SFT Fine-Tuned Models