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Knowledge retrieval and reasoning are the main bottlenecks in KI-VQA, but a new diagnostic benchmark reveals deeper issues in visual grounding and object identification.
K-Risk reveals that a knowledge-augmented dataset can significantly improve the understanding and management of high-risk driving scenarios in autonomous vehicles.
