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Davide Evangelista

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#artificial intelligence Preprint Aug 2026

Physics-Guided Flow Matching for CT Image Reconstruction

Experimental results across several CT inverse problem settings show that Flow Matching-based approaches consistently outperform diffusion-based methods in terms of PSNR, SSIM, and perceptual quality, while requiring fewer sampling steps.

Davide Evangelista · 1 citation
Jul 2026

D-Score: A Spectral Hidden-State Signal for Hallucination Detection in Large Language Models

The D-Score is introduced, a simple spectral statistic computed from a single forward pass that is used as a hallucination score, classifying an input text as hallucinated when its D-Score is larger than a pre-defined quantity.

Bianca Raimondi, Davide Evangelista, Maurizio Gabbrielli et al. · 0 citations

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