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Zipping the Thought: When and How Compressed Reasoning Data Works in LLM Post-Training
探明压缩推理数据在LLM后训练中的生效条件与方式，为效率优化提供理论支撑。
arXiv:2605.28008v1 Announce Type: new Abstract: Large language models (LLMs) can now solve complex problems through long chain-of-thought (CoT) reason…