PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic
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InterMimicGen: Scaling Humanoid Loco-Manipulation through Self-Evolving Motion Imitation
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AVOC: Enhancing Hour-Level Audio-Video Understanding in Omni-Modal LLMs via Retrieval-Inspired Token Compression
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Two-Point Local Optimality in $k$-Means via Boundary-Point Screening
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Closing the Context Gap: Activation Alignment for Tabular In-Context Learning
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GFPack++: Attention-Driven Gradient Fields for Optimizing 2D Irregular Packing
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When Is Enough Not Enough? Illusory Completion in Search Agents
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Answer Set Networks: Casting Answer Set Programming into Deep Learning
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Towards LLM Agents for Earth Observation
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OpenPhone: Mobile Agentic Foundation Models
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Sampling Allocation of LinUCB: Optimal Design Limits in the Small-Gap Regime
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Labeling Training Data for Entity Matching Using Large Language Models
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