Evaluating the Generalization of Neuroimaging Foundation Models on African Brain MRI
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New papers, breakthroughs and academic AI research
Why Ghost Outputs Teach: A Kernel-Based Understanding of Subliminal Learning
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Constrained Decoding Eliminates Structural Failures in Small LLMs but Reveals a Scale-Dependent Semantic Gap
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WebMRIQC: A Web-Based Implementation of MRIQC for Accessible MRI Image Quality Assessment in Resource-Constrained Settings
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STEVE: Stabilizing Textual Gradient-Based Prompt Optimization via Error-Driven Refinement and Regularized Verification
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Optimal No-Regret Learning for Repeated Prophet Inequality
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ValueDiff: Value-Geometric KV Cache Eviction for Sink-Suppressed LLMs
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CSC: Calibrated Simplicity for Conflict-Aware Social Bot Detection in the LLM Era
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Muon Can Outperform Dedicated Continual Learning Methods
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HiLo-Token: Input-Adaptive High-Low Frequency Token Compression for Efficient Image Editing
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Rethinking Diffusion Segmentation: When Does It Rely on Its Noisy State, and Does Diffusion Matter?
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FLARE: A Full-Lifecycle Dense Supervision Paradigm for Long-Horizon Coding Agents via Generative Reward Model
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