@article{zou2026mobilekernelbench,title={MobileKernelBench: Can LLMs Write Efficient Kernels for Mobile Devices?},author={Zou, Xingze and Wang, Jing and Zheng, Yuhua and Chen, Xueyi and Bai, Haolei and Kong, Lingcheng and Abu-Bakar, Syed AR and Wang, Zhaode and Lv, Chengfei and Hu, Haoji and Wang, Huan},journal={arXiv preprint arXiv:2602.11715},year={2026},}
arXiv’26
DICE: Diffusion Large Language Models Excel at Generating CUDA Kernels
Haolei Bai, Lingcheng Kong, Xueyi Chen, and 3 more authors
@article{bai2026dice,title={DICE: Diffusion Large Language Models Excel at Generating CUDA Kernels},author={Bai, Haolei and Kong, Lingcheng and Chen, Xueyi and Wang, Jianmian and Tao, Zhiqiang and Wang, Huan},journal={arXiv preprint arXiv:2602.11715},year={2026},}
CPAL’26
ERC-SVD: Error-Controlled SVD for Large Language Model Compression
Haolei Bai, Siyong Jian, Tuo Liang, and 2 more authors
In Third Conference on Parsimony and Learning, 2026
@inproceedings{bai2026ercsvd,title={ERC-SVD: Error-Controlled SVD for Large Language Model Compression},author={Bai, Haolei and Jian, Siyong and Liang, Tuo and Yin, Yu and Wang, Huan},booktitle={Third Conference on Parsimony and Learning},year={2026},}
