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Jeffrey guidance can significantly improve diffusion model outputs while ensuring fairness across attributes, challenging the limitations of standard sampling techniques.
Forget ensembles and retraining: estimate LLM uncertainty with just a single forward-backward pass by assuming parameter covariance isotropy.
