activity
20242026
most citedLocation is Key: Leveraging Large Language Model for Functional Bug Localization in Verilog

2 citations · 11 across the 9 of their papers we have counts for

collaborators
Showing cs.ARShow all

8 papers · 1 filter

cs.AR2026

UVMarvel: an Automated LLM-aided UVM Machine for Subsystem-level RTL Verification

Junhao Ye, Dingrong Pan, Hanyuan Liu +7

Verification presents a major bottleneck in Integrated Circuit (IC) development, consuming nearly 70% of total effort. While the Universal Verification Methodology (UVM) improves r…

cs.AR2026

ChatSVA: Bridging SVA Generation for Hardware Verification via Task-Specific LLMs

Lik Tung Fu, Jie Zhou, Shaokai Ren +6

Functional verification consumes over 50% of the IC development lifecycle, where SystemVerilog Assertions (SVAs) are indispensable for formal property verification and enhanced sim…

cs.AR2025★ 2 cited

Insights from Verification: Training a Verilog Generation LLM with Reinforcement Learning with Testbench Feedback

Ning Wang, Bingkun Yao, Jie Zhou +4

Large language models (LLMs) have shown strong performance in Verilog generation from natural language description. However, ensuring the functional correctness of the generated co…

cs.AR2025★ 2 cited

From Concept to Practice: an Automated LLM-aided UVM Machine for RTL Verification

Junhao Ye, Yuchen Hu, Ke Xu +8

Verification presents a major bottleneck in Integrated Circuit (IC) development, consuming nearly 70% of the total development effort. While the Universal Verification Methodology…

cs.AR2025

Insights from Rights and Wrongs: A Large Language Model for Solving Assertion Failures in RTL Design

Jie Zhou, Youshu Ji, Ning Wang +7

SystemVerilog Assertions (SVAs) are essential for verifying Register Transfer Level (RTL) designs, as they can be embedded into key functional paths to detect unintended behaviours…

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…