PARK: Accurate Block Retrieval for Sparse Attention in Video Diffusion Transformers
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SparLeak: Privacy Leakage from Sparse Attention in LLM Inference on Shared GPUs
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Retrieval Capacity of Self-Attention Under Competition
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It's All Training: A Fully Synthetic Single-Stage Recipe for LLMs
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AVERT-VLN: Abstention-aware Visual Error Recovery and Training for Vision-and-Language Navigation
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Learning Chaos Without Seeing Chaos: Extrapolation of Global Dynamics in Autoregressive Transformers
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One Threshold Does Not Fit All Languages: Language-Conditional Deferral for Reliable and Efficient Low-Resource Text Classification
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scTrilemma: Balancing Identity, Invariance, and Fidelity in Single-Cell Representation Learning
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Can Computation from Earlier Problems Help LLMs Solve New Ones?
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Disentangling Self-Distillation: Measuring and Modeling Acquisition and Retention
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Why Do Conventional World Models Fail to Learn Cellular Automata?
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AnthroDial: Benchmarking LLM Anthropomorphism in Autonomous Social Interaction
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