标题为英语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…
AI 摘要：要点
- 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…
Low-Rank Hierarchical Merging for Efficient Long-to-Short Reasoning
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