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Rodrigo Pato Nogueira

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Preprint Aug 2026

Unreliable in Practice? A Comprehensive Study of Errors in LLM-Generated Code

It is observed that generated code often omits basic input validation or memory-safety checks, which can lead to overflows, resource exhaustion, or other reliability/security issues, and even the largest models frequently make simple mistakes.

Rodrigo Pato Nogueira, Marco Vieira, João R. Campos · 0 citations