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Umar Subhan Malhi

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#computer vision Preprint Aug 2026

CodeAssay: A Multi-Metric Benchmark with Audited Ground Truth for LLM Code Generation

These findings show that reliable evaluation of LLM-generated code requires validated ground truth, protected tests, and multiple explicitly interpreted measures, and that CodeAssay provides a reproducible basis for evidence-based model evaluation in AI-augmented software development.

Shahbaz Siddeeq, Muhammad Waseem, Umar Subhan Malhi et al. · 0 citations