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Transforming ambiguous dialogue into structured navigation states boosts robot navigation success rates by over 25% without additional training.
GlaKG achieves near-perfect classification while providing a transparent reasoning framework that links biomarker evidence to clinical rules, addressing the black-box nature of traditional deep learning models in healthcare.
GRAFT achieves a new state-of-the-art in neural population activity modeling while enabling efficient cross-day recalibration with minimal parameter adjustments.