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Naive transfer of Latin-trained OCR models to Ge'ez script fails miserably, but a simple word-aware loss weighting unlocks high accuracy with minimal training.
By framing global state inference as a diffusion process, GlobeDiff enables multi-agent systems to overcome partial observability limitations and achieve superior coordination.
