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Data leakage and hidden stratification can inflate performance metrics, but a new framework reveals the true robustness of AI models in spatially correlated domains.
Iterative Visual Thinking transforms VLMs from static predictors into dynamic self-correcting systems, boosting accuracy by over 2% across multiple benchmarks.
