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Department of Computer Science and Software Engineering
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Argus achieves a 78% success rate on long-horizon reasoning tasks while using 21% fewer tokens in mature workflows, showcasing a revolutionary approach to agentic autonomy.
Achieving 95% accuracy in object-level change detection, this method significantly outperforms previous benchmarks while addressing the challenges of pose uncertainty and false change detection.
LLMs can intelligently route sensor modalities in autonomous vehicles, slashing computation by 6% without sacrificing driving performance.
