VHDL-Eval: A Framework for Evaluating Large Language Models in VHDL Code Generation

Documenti analoghi

• Chain-of-Descriptions: Improving Code LLMs for VHDL Code Generation and Summarization
  di: Vijayaraghavan, Prashanth, et al.
  Pubblicazione: (2025)
• SYMDIREC: A Neuro-Symbolic Divide-Retrieve-Conquer Framework for Enhanced RTL Synthesis and Summarization
  di: Vijayaraghavan, Prashanth, et al.
  Pubblicazione: (2026)
• Customizing a Large Language Model for VHDL Design of High-Performance Microprocessors
  di: Dupuis, Nicolas, et al.
  Pubblicazione: (2025)
• Self-Regulated Data-Free Knowledge Amalgamation for Text Classification
  di: Vijayaraghavan, Prashanth, et al.
  Pubblicazione: (2024)
• Is Your AI-Generated Code Really Safe? Evaluating Large Language Models on Secure Code Generation with CodeSecEval
  di: Wang, Jiexin, et al.
  Pubblicazione: (2024)