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Think-at-Hard: Selective Latent Iterations to Improve Reasoning Language Models
被ICML'26录用的新方法，通过选择性潜在迭代显著提升推理语言模型的表现力。
arXiv:2511.08577v3 Announce Type: replace-cross Abstract: Improving the reasoning abilities of Large Language Models (LLMs), especially under paramete…