Author

Qi Xie

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#artificial intelligence Preprint Oct 2026

Where to Adapt Matters: Layer-Selective Fine-Tuning for Capability Retention

Parameter-efficient fine-tuning (PEFT) enables large language models (LLMs) to adapt to specialized tasks, but often at the cost of degrading general capabilities acquired during pretraining. Existing approaches primarily mitigate this trade-off through data replay or regularization, relying on additional data or expli...

Zhi-Qian Pang, Zi-Hong Sun, Qi Xie et al. · 0 citations

Jul 2026

Flash EQ-Linear: Accelerating Equivariant Linear Layers via Group-wise Discrete Fourier Transform

Flash EQ-Linear is proposed, an exact acceleration algorithm that reduces the cost to $2(T-1)/T^2$ of the original dense formulation of the equivariant group size by combining the Fourier convolution theorem along the group dimension with the conjugate symmetry of the real DFT.

Zhongchen Zhao, Jixin Wang, Qi Xie et al. · arXiv.org · 0 citations