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Current evaluation metrics for SVG generation miss critical errors, but SVG-Score reveals how to align machine outputs with human judgment effectively.
Targeted modulation of just eight dominant channels can dramatically enhance image super-resolution quality without fine-tuning the entire model.
DLMs reveal surprising trade-offs between performance and computational efficiency that challenge conventional wisdom about language model design.
