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Nanjing University
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An 8B parameter model, RideJudge, outperforms 32B baselines in ride-hailing dispute adjudication by aligning visual semantics with evidentiary protocols, achieving 88.41% accuracy.
Current MLLMs struggle with even basic route planning in remote sensing, highlighting a critical gap in their ability to translate perception into action in complex, real-world scenarios.
