This paper introduces VeriThoughts, a novel dataset designed for reasoning-based Verilog code generation. We establish a new benchmark framework grounded in formal verification methods to evaluate the quality and correctness of generated hardware descriptions. Additionally, we present a suite of specialized small-scale models optimized specifically for Verilog generation. Our work addresses the growing need for automated hardware design tools that can produce verifiably correct implementations from high-level specifications, potentially accelerating the hardware development process while maintaining rigorous correctness guarantees. Our code and data are available at \href{https://github.com/wilyub/VeriThoughts}{this URL}.
VeriThoughts: Enabling Automated Verilog Code Generation using Reasoning and Formal Verification
A new dataset and benchmark framework evaluate the quality and correctness of generated Verilog hardware descriptions using specialized small-scale models.
- Year
- 2025
- Venue
- arXiv 2025
- Authors
- 7
- Hosting
- Abstract onlyARXIV-DEFAULT
Cite
Notes
Only stored in your browser.
Attribution
- Abstract & full text
- arxiv.org/abs/2505.20302v2ARXIV-DEFAULT
- TL;DR
- Semantic Scholar