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Draft-Thinking: Learning Efficient Reasoning in Long Chain-of-Thought LLMs
Long chain-of-thought~(CoT) reasoning improves the problem-solving capability of large reasoning models~(LRMs), but often incurs substantial inference cost and overthinking. Existing efficiency methods primarily rely on prompting, post-hoc compression, or length-regularized optimization; these appro
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