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Aditya Shah

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#artificial intelligence Preprint Sep 2026

Decodability is Not Causality: Dissociating Probe Readouts from Behavioral Drivers via SAE Decomposition

A feature-level diagnostic is introduced that decomposes a deployed True/False probe into sparse-autoencoder (SAE) features, ranks those features by both probe alignment and by gradient sensitivity of the model's behavior, and ablates the resulting shared, probe-only, and random feature sets under a coherence gate.

Devesh Tiwari, Camille Davis, Shivank Sinha et al. · 1 citation
#computer vision Preprint Jul 2026

PhysMent: An Interactive Approach For LLM Reasoning In Physics Problems

PhysMent is introduced, a benchmark that evaluates LLM physical reasoning via iterative, toolmediated interaction with a MuJoCo physics simulator, and results show that current models perform reasonably well on qualitative single-concept tasks but degrade substantially on quantitative tasks that demand precise, multi-s...

Joseph Chan, Utkarsh Jha, Xi-Yin Yang et al. · 0 citations

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