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Matty Hilliard

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#small language model Open access Sep 2026

Carrier Current Sensing for Computation-Level Bias Detection in Large Language Models: A Methodological Manual

Auditing large language models (LLMs) for demographic bias typically relies on analyzing text outputs, which cannot detect cases where a model computes differently across demographic inputs yet produces equivalent output — a phenomenon we term dark bias. We investigate whether such computation-level differences are det...

Matty Hilliard · 0 citations
#large language models Open access Sep 2026

Carrier Current Sensing for Computation-Level Bias Detection in Large Language Models: A Methodological Manual

This is unedited work with Mistral Vibe. Quality/logic checked through multiple different instance reviews. Proceed with caution. This manual presents a novel methodology for detecting algorithmic bias in large language models (LLMs) by analyzing GPU power-line current fluctuations during inference. Unlike existing bia...

Matty Hilliard · 0 citations

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