LLM evaluation for RTL generation identifies three performance tiers with frontier models reaching high synthesis quality and reveals systematic failure differences between proprietary and open models.
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A review of 42 primary studies expands the definition of Algorithm Debt in ML/DL systems, identifies its smells, and suggests future research directions.
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Synthesis-in-the-Loop Evaluation of LLMs for RTL Generation: Quality, Reliability, and Failure Modes
LLM evaluation for RTL generation identifies three performance tiers with frontier models reaching high synthesis quality and reveals systematic failure differences between proprietary and open models.
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A Survey of Algorithm Debt in Machine and Deep Learning Systems: Definition, Smells, and Future Work
A review of 42 primary studies expands the definition of Algorithm Debt in ML/DL systems, identifies its smells, and suggests future research directions.