activity
20242026
collaborators

11 papers

cs.SE2026

Model-Driven Discipline for Multi-Agent LLMs: Requirement-to-Verification Generation of Traceable System Models

Ran Wei, Le Zhu, Haochi Wang +6

Software complexity is a long-standing challenge for system engineers. Model-Driven Engineering (MDE) addresses it by treating models as first-class artefacts, but a typical MDE pr…

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.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.SE2026

AkiraRust: Re-thinking LLM-aided Rust Repair Using a Feedback-guided Thinking Switch

Renshuang Jiang, Yichong Wang, Pan Dong +6

Eliminating undefined behaviors (UBs) in Rust programs requires a deep semantic understanding to enable accurate and reliable repair. While existing studies have demonstrated the p…

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.SE2025

ARSP: Automated Repair of Verilog Designs via Semantic Partitioning

Bingkun Yao, Ning Wang, Xiangfeng Liu +5

Debugging functional Verilog bugs consumes a significant portion of front-end design time. While Large Language Models (LLMs) have demonstrated great potential in mitigating this e…