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Tinuade Adeleke

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Preprint Jul 2026

When Uncertainty Isn't Enough: An Empirical Study of Self-Correction in Code Generation

It is suggested that cheap uncertainty estimators are insufficient on their own to improve code correctness, and that their practical value lies in serving as gating signals for costlier execution-based correction loops rather than as standalone substitutes for verification.

Pranav Rakasi, Maanas Lalwani, A. Srivastava et al. · 0 citations
#artificial intelligence Preprint Aug 2026

The Halt Vector: Internalizing a Causal Steering Intervention for Efficient Reasoning

The mechanism is a halt vector: a difference-of-means direction at layer 18 of this model whose steering strength controls how long it thinks, while a replicated value axis does nothing, and what works is reconstructing the whole steered activation with those dimensions pinned to their natural values.

Dylan Jayabahu, Tinuade Adeleke · 0 citations

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