Author

Yiheng Shen

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Preprint Sep 2026

Quality over Quantity: Diversity-Aware Data Selection for Efficient Verilog Code Generation

Large Language Models (LLMs) have shown remarkable potential in Verilog code generation, yet existing datasets contain con siderable noise and redundancy. Prior data selection methods address only isolated quality aspects, neglect the global diversity of the training set, and cannot capture Verilog-specific structural...

Yi-Heng Shen, Wei Zheng, Xiao Wei et al. · 0 citations

#artificial intelligence Review Open access Oct 2025

Large Language Model for Verilog Code Generation: Literature Review and the Road Ahead

This review provides a systematic literature review of LLM-based Verilog code generation, analyzing 102 papers (70 published and 32 high-quality preprints) from SE, AI, and EDA venues and outlines a roadmap highlighting potential opportunities in LLM-assisted hardware design.

Guang Yang, Wei Zheng, Xiang Chen et al. · ACM Computing Surveys · 11 citations · ⚡1