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University of Colorado Colorado Springs, University of Michigan, University of Notre Dame
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Vision-language models struggle with safety-critical reasoning, but AUTOPILOT-VQA reveals their limitations in understanding real-world driving incidents.
Finally, a way to understand *how* transformers make decisions, not just *which* tokens are important, by tracing relevance flow through layers with context-aware gradients.
