2 papers
cs.SE2025
AutoAssert 1: A LoRA Fine-Tuned LLM Model for Efficient Automated Assertion Generation
Yi Zhong, Hongchao Liu, Di ZHao
As the complexity of software systems continues to increase, the demand for automated testing and maintenance tools is growing exponentially. To meet this urgent need, we propose a…
cs.AR2024
Research on LLM Acceleration Using the High-Performance RISC-V Processor "Xiangshan" (Nanhu Version) Based on the Open-Source Matrix Instruction Set Extension (Vector Dot Product)
Xu-Hao Chen, Si-Peng Hu, Hong-Chao Liu +3
Considering the high-performance and low-power requirements of edge AI, this study designs a specialized instruction set processor for edge AI based on the RISC-V instruction set a…