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PLT achieves state-of-the-art performance in 3D point cloud understanding while using less than 8% of the parameters typically required for fine-tuning.
WHALE unifies non-sequence and sequence feature modeling, achieving superior recommendation performance while maintaining efficiency in industrial settings.
SalientGS reallocates computational resources to underfit areas, achieving high-quality 3D reconstructions in just 15 minutes.
Aggregate-score leaderboards can mislead, as they fail to predict agent performance in real-world scenarios, revealing a critical flaw in current evaluation practices.
