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This paper quantifies the sensitivity of established evaluation metrics to variations in reporting practices and introduces a radiologist-informed taxonomy of variations in radiology reporting practice and a method (ReRef) that rewrites reference reports along the axes of the authors' taxonomy while preserving clinical interpretation.
Explicitly optimizing for target function smoothness can dramatically enhance the performance of models on tabular data.
Score estimation errors in vanilla diffusion models can lead to catastrophic failures in compositional generation, revealing a critical gap in current methodologies.
Concept extraction's identifiability problem just got a lot easier, thanks to a new framework that turns guarantee proofs into set intersection problems.