4DGS-JEPA: Temporally Compositional Joint-Embedding Prediction for Dynamic Gaussian Splatting
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Learned Enterprise Data Comprehension: Compression and Routing for Data Agents
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Potential for Enhanced Learning in Machine Learning Classes by Using Wiki LLM Indexing
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Brain-Inspired Hierarchical Modularity for General Continual Learning
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Learning Neural Feedback Linearization for Data-driven Systems via Augmented Lagrangian
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Retrieved-Span Training for Efficient Query-Focused Meeting Summarization on QMSum
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Lean Pool: An AI-Maintained Archive of Formalized Mathematics
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CrossDistill: Balancing Quality and Diversity via Trajectory-Level Hybrid Few-Step Distillation
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Ovis-Embedding: Pushing the Frontiers of Universal Omni-Modal Embeddings
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Mitigating Sequential Reappearance in Diffusion Data-Point Unlearning
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Mitigating LLM Over-Refusal via Dynamic Semantic Routing Calibratione
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Do Existing Preconditioners Improve Biomedical Tabular Foundation Learning? An Empirical Study on TabPFN Optimization
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