BAM! Bayesian Anything Model: a foundation model for generative computational imaging
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New papers, breakthroughs and academic AI research
Client and Training Data Selection for Computationally Efficient Synchronized Federated Learning
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RouteRec: Behavior-Guided Sparse Routing for Sequential Recommendation
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C-Instrument: Automating RL Data Generation and Hillclimbing with a Constitution-Grid Instrument
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Massive Activations in Hybrid Linear Attention Large Language Models: Pre-Attention Spikes and Inter-Spike Plateaus
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Jacobian Rank Collapse in Decision-Focused Learning
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JPO: Juris Policy Optimization for Structured Legal Reasoning in Criminal Judgment Prediction
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ExpandDiff: Dynamic Range Expanding Diffusion for Single-Image HDR Reconstruction
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Typographic Attack Against VLM-based AI-generated Image Detection
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Beyond Text: LLM-Based Dimensional Emotion Evaluation in Multimodal Dialogue
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Bake It Till You Make It: Ultrafast Spatial Texture-Atlas Splatting
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Latent-Action-Guided Vision-Language Contrastive Learning for Surgical Interaction Recognition
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