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arXiv — cs.AI

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Low-Rank Hierarchical Merging for Efficient Long-to-Short Reasoning

arXiv:2611.03834v1 Announce Type: new Abstract: Long-to-Short (L2S) model merging seeks to combine the strong reasoning capability of long chain-of-thought models with the concise style of base models, but existing methods that rely on linear interpolation and first-order…

arXiv — cs.AIBy: Zeqiu Yu, Xuesheng Zhang, Wenxiao Zhao, Shixiao WangNovember 4, 2026 (1 hour ago)
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  • arXiv:2611.03834v1 Announce Type: new Abstract: Long-to-Short (L2S) model merging seeks to combine the strong reasoning capability of long chain-of-thought models with the concise style of base models, but existing methods that rely on linear interpolation and first-order…
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Low-Rank Hierarchical Merging for Efficient Long-to-Short Reasoning

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