fahadhafeezofficial/beliefdrift

BeliefDrift Measuring Selective Belief Updating and Belief-State Stability in AI Systems Author: Fahad Hafeez · Version: 0.2.0 (scale-up release) · Synthetic dataset Overview BeliefDrift is a synthetic benchmark for evaluating whether an AI system updates exactly the beliefs that should change when given new evidence, while preserving beliefs that should not — as distinct from whether it eventually produces a correct final answer. Evidence in BeliefDrift is… See the full description on the dataset page: https://huggingface.co/datasets/fahadhafeezofficial/beliefdrift.

<iframe src="https://silytics.si/embed/item/e49a5fa7-b1e8-4c95-a67a-fcfc7b1a58d9" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.