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Kolmogorov-Arnold Fourier Networks
针对KAN网络参数爆炸与高频特征捕捉难题，提出基于傅里叶变换的改进架构，理论与实验俱佳
arXiv:2502.06018v3 Announce Type: replace-cross Abstract: Although Kolmogorov-Arnold-based interpretable networks (KANs) possess strong theoretical ex…
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Hybrid-LoRA: Bridging Full Fine-Tuning and Low-Rank Adaptation for Post-Training
混合全微调与低秩适应的新方法，专为后训练场景优化，效率与性能兼得
arXiv:2605.18822v1 Announce Type: new Abstract: Post-training has become essential for adapting large language models (LLMs) to complex downstream beh…
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LoopQ: Quantization for Recursive Transformers
循环语言模型量化面临三大挑战，首次系统性研究揭秘其脆弱性根源
arXiv:2605.16343v1 Announce Type: new Abstract: Looped language models (LoopLMs) improve parameter efficiency by recursively reusing Transformer block…