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

arXiv:2605.05267v1 Announce Type: cross Abstract: Large language models (LLMs) frequently generate defective outputs in code generation tasks, ranging from logical bugs to security vulnerabilities. While these generation failures are often treated as model-level limitations, empirical evidence...