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Analysis indicates that embedding representations of physical measurements are strongly influenced by superficial string similarity, and recalibration of similarity does not substantially improve the alignment.
Dowker homology reveals nuanced insights into sentence similarity, but traditional methods still hold the edge in performance.
Modern LLMs can drastically improve OCR accuracy for historical texts, but they risk over-correcting clean inputs, complicating their practical deployment.
