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Activation steering debiasing methods reduce LLM bias not by correcting underlying preferences, but by making the model less confident and more likely to abstain from answering.
Forget perplexity: DMAP offers a mathematically grounded, model-agnostic representation of text that unlocks new insights into generation quality, machine-generated text detection, and forensic analysis of synthetic data influence.