Bridging Generation and Training: A Systematic Review of Quality Issues in LLMs for Code.

arXiv:2605.05267v2 Announce Type: replace-cross Abstract: Large language models (LLMs) frequently generate defective code, ranging from logical bugs to security vulnerabilities. Training-data quality is one contributor to these outcomes alongside model archite