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

**Published:** November 4, 2026
**Author:** Zeqiu Yu, Xuesheng Zhang, Wenxiao Zhao, Shixiao Wang
**Source:** arXiv — cs.AI
**Language:** en-US
**HTML:** https://aiqazaqstan.com/en/articles/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…

> From the original source: **arXiv — cs.AI**
> [Read full article at arXiv — cs.AI](https://arxiv.org/abs/2611.03834)

**Tags:** #Papers with Code #arXiv

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