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RegulaRAG outperforms existing RAG systems by 43% in generating regulation-compliant scenarios while using significantly fewer tokens, showcasing a breakthrough in efficiency and effectiveness.
Video LLMs can ace individual traffic video questions but still fail spectacularly at subtle counterfactual reasoning, revealing a critical blind spot for safety-critical applications.
Ditch the ECU-by-ECU grind: this ViL framework lets you test full autonomous driving stacks on a central car server by syncing a real vehicle with its digital twin.
