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VCIP, CS, Nankai University, AAIS, Nankai University, NKIARI, Shenzhen Futian Abstract Text-to-point-cloud (T
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By converting point clouds into a format VLMs can understand, VLM-Loc significantly boosts text-to-point-cloud localization accuracy, outperforming prior methods that rely on shallower text-point cloud correspondences.
LLM-powered diagnostic AI is ready for prime time: a real-world clinical trial shows it's safe, patients love it, and doctors find it useful.
Forget hand-crafted curricula: TSE-Datamap leverages training dynamics to automatically surface optimal learning schedules for target speaker extraction.
LLMs can be adapted for scenario-specific user representation by conditioning on queries, achieving state-of-the-art performance on Alipay benchmarks and demonstrating practical effectiveness in online A/B testing.
