Code Is More Than Text: Uncertainty Estimation for Code Generation

arXiv·medium signal

Argues that treating code as plain text undersells uncertainty estimation for LLM code generators, where silently wrong programs carry real safety and reliability risk. Proposes UE methods that exploit code structure for better selective prediction (knowing when to abstain). Directly applicable to anyone wiring LLM code-gen into CI or autonomous coding loops who needs a reliable 'don't trust this output' signal.