Introspective Uncertainty Estimation for LLM-Based Code Generation
The findings suggest that hidden states are a robust and informative resource for estimating functional code correctness, supporting a two-stage workflow that combines response-level risk screening with targeted line-level prioritization.
T. Klassert
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