The increasing popularity of large language models (LLMs) has paved the way for their application in diverse domains. This paper proposes a benchmarking framework tailored specifically for evaluating ...

Large language models (LLMs) have recently attracted significant attention for their potential in Verilog code generation. However, existing LLM-based methods face several challenges, including data ...

The resulting dataset comprises 20,392 Verilog samples, 751 MB of Verilog code data, which is the largest high-quality Verilog dataset for LLM fine-tuning to our knowledge. We further evaluate the ...

And VS code also recognized the file as system verilog. So, when I write code or read system verilog, I expect that verible-verilog-ls shows syntax and lint result in PROBLEMS tab.

Researchers at NYU Tandon School of Engineering have created VeriGen, the first specialized artificial intelligence model successfully trained to generate Verilog code, the programming language that ...

The researchers from AWS AI Labs’ introduction of CODE SAGE marks a pivotal shift towards an innovative bidirectional encoder representation model designed specifically for source code. This model ...

For most verilog designers, integrating some large-scale spinalHDL generated verilog is a huge challenge, and a large amount of redundant code is also inconvenient for verilog developers to maintain, ...