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NGS-Marker effectively thwarts partial infringement in 3D Gaussian Splatting, ensuring robust copyright protection for 3D assets.
Retaining more copies of low-frequency content while aggressively pruning high-frequency duplicates can significantly boost model performance during pretraining.
LLMs can now be trained to prioritize task constraints intrinsically, resulting in a dramatic improvement in planning reliability.
Trajectory neglect in LLM agents can be significantly reduced using a novel reward mechanism that enhances focus on task goals without sacrificing training stability.
A new tensor completion method achieves superior performance by leveraging a flexible nonconvex surrogate that accurately captures tensor structure.
