Update README.md

README.md

@@ -25,9 +25,10 @@ Our framework, **Ascend KernelGen (AKGen)**, bridges the gap between general-pur
 * **Performance:** The model demonstrates siginificant improvement on complex Level-2 kernels compared to baselines, and effectively solving tasks where general-purpose models (like Qwen3, Llama3.1) fail completely.
 
 ## Citation
-@inproceedings{Cao2026AscendKernelGenAS,
-  title={AscendKernelGen: A Systematic Study of LLM-Based Kernel Generation for Neural Processing Units},
+@article{cao2026ascendkernelgen,
+  title={Ascend KernelGen: A Systematic Study of LLM-Based Kernel Generation for Neural Processing Units},
   author={Xinzi Cao and Jianyang Zhai and Pengfei Li and Zhiheng Hu and Cen Yan and Bingxu Mu and Guanghuan Fang and Bin She and Jiayu Li and Yihan Su and Dongyang Tao and Xiansong Huang and Fan Xu and Feidiao Yang and Yao Lu and Chang-Dong Wang and Yutong Lu and Weicheng Xue and Bin Zhou and Yonghong Tian},
+  journal={arXiv preprint arXiv:2601.07160},
   year={2026},
-  url={https://api.semanticscholar.org/CorpusID:284648690}
+  url={https://arxiv.org/abs/2601.07160}
 }