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Larger RLVR batches, despite appearing efficient with square-root learning rates, suffer a critical batch size that degrades sample efficiency and hastens failure due to curvature effects.
PILOT redefines biomedical entity linking by achieving state-of-the-art results while maintaining efficiency, overcoming the complexities of ambiguous mentions and diverse annotation standards.
