activity
20242026
collaborators

9 papers

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.AR20262 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.SE2025

VeriDebug: A Unified LLM for Verilog Debugging via Contrastive Embedding and Guided Correction

Ning Wang, Bingkun Yao, Jie Zhou +4

Large Language Models (LLMs) have demonstrated remarkable potential in debugging for various programming languages. However, the application of LLMs to Verilog debugging remains in…

cs.AR2025

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

Large Language Model for Verilog Generation with Code-Structure-Guided Reinforcement Learning

Ning Wang, Bingkun Yao, Jie Zhou +3

Recent advancements in large language models (LLMs) have sparked significant interest in the automatic generation of Register Transfer Level (RTL) designs, particularly using Veril…