CellMSA: Context Modeling for Single-Cell Representation Learning
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New papers, breakthroughs and academic AI research
Think Right: Learning to Mitigate Under-Over Thinking via Adaptive, Attentive Compression
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Existence Precedes Value: Joint Modeling of Observational Existence and Evolving States in Time Series Forecasting
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Trustworthiness Costs of Domain Adaptation in Small Language Models:A Cross-Architecture Empirical Study
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MoEGen: Mixture-of-Experts for Instance-Adaptive LoRA Generation
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The Illusion of Replacement: Rethinking Specialized Machine Learning Models in the Foundation Model Era
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Trust the Critic More
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Semantic Watermarking for Malicious Image Manipulation Detection
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BAM! Bayesian Anything Model: a foundation model for generative computational imaging
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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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