most citedUVLLM: An Automated Universal RTL Verification Framework using LLMs

2 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

math.AP2025

Compactness of Extremals for Singular Anisotropic Trudinger-Moser functionals on bounded domain

Weiwei Shan, Minbo Yang, Jiazheng Zhou

In this paper, we investigate the compactness of extremal functions for a critical singular anisotropic Trudinger-Moser inequality established by Lu-Shen-Xue-Zhu\cite{ref1}. We pro…

cs.AR2025

KVNAND: Efficient On-Device Large Language Model Inference Using DRAM-Free In-Flash Computing

Lishuo Deng, Shaojie Xu, Jinwu Chen +4

Deploying large language models (LLMs) on edge devices enables personalized agents with strong privacy and low cost. However, with tens to hundreds of billions of parameters, singl…

cs.AR2025

ISAAC: Intelligent, Scalable, Agile, and Accelerated CPU Verification via LLM-aided FPGA Parallelism

Jialin Sun, Yuchen Hu, Dean You +6

Functional verification is a critical bottleneck in integrated circuit development, with CPU verification being especially time-intensive and labour-consuming. Industrial practice…

cs.AR2024★ 2 cited

UVLLM: An Automated Universal RTL Verification Framework using LLMs

Yuchen Hu, Junhao Ye, Ke Xu +11

Verifying hardware designs in embedded systems is crucial but often labor-intensive and time-consuming. While existing solutions have improved automation, they frequently rely on u…

cs.AR2024★ 1 cited

MEIC: Re-thinking RTL Debug Automation using LLMs

Ke Xu, Jialin Sun, Yuchen Hu +4

The deployment of Large Language Models (LLMs) for code debugging (e.g., C and Python) is widespread, benefiting from their ability to understand and interpret intricate concepts.…