HE-SNR: Uncovering Latent Logic via Entropy for Guiding Mid-Training on SWE-bench 事件

HE-SNR: Uncovering Latent Logic via Entropy for Guiding Mid-Training on SWE-bench arXiv:2601.20255v3 Announce Type: replace-cross Abstract: SWE-bench has emerged as the premier benchmark for evaluating Large Language Models on complex software engineering tasks. While these capabilities are fundamentally acquired during the mid-training phase and subsequently elicited during Supervised Fine-Tuning (SFT), there remains a critical deficit in metrics capable of guiding mid-training effectively. St