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

> 全文为英语

**Published:** 2026年11月4日
**Author:** Zeqiu Yu, Xuesheng Zhang, Wenxiao Zhao, Shixiao Wang
**Source:** arXiv — cs.AI
**Language:** en-US
**HTML:** https://aiqazaqstan.com/zh/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…

> 内容来自原始来源： **arXiv — cs.AI**
> [在 arXiv — cs.AI 阅读全文](https://arxiv.org/abs/2611.03834)

**标签：** #Papers with Code #arXiv

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