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Nanjing University of Science and Technology
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Behavioral alignment in bug resolution is quantifiable and reveals that structured signals can significantly enhance the reliability of test generation and patch ranking.
CASA-SDF achieves superior indoor surface reconstruction by intelligently balancing regularization and detail preservation, outperforming existing methods.
T2LDM++ generates realistic LiDAR scenes with rich geometric details, overcoming the limitations of existing models that struggle with insufficient training data and controllability.
LLMs can be taught to avoid repeating past mistakes in vulnerability repair, boosting performance by up to 39% over state-of-the-art methods.
