Imagine trying to design a key for a lock that is constantly changing its shape. That is the exact challenge we face in ...
Abstract: Data set bias not only compromises the fairness, accuracy and effectiveness of trained models, but also leads to a lower performance in real-world scenarios compared to the evaluation ...
Framed this way, the disagreement carries more weight than it should. Yield and rewards are questions of design within a ...
AI outputs vary because confidence varies. Corroboration and entity optimization turn inconsistent AI visibility into consistent presence.
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