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A novel cross-attention mechanism dynamically clusters queries to achieve sub-quadratic complexity in neural operators for PDEs without sacrificing spatial resolution or model flexibility.
Calibration of uncertainty in structural monitoring can be dramatically improved, reducing coverage error by nearly 56% across diverse operational conditions.
Navigating document structures with a stateful evidence approach boosts answer quality by nearly 8% in complex question answering tasks.
