Do I Need the Cloud? Uncertainty-Aware Step-Level Handoff for Small Language Model Agents
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New papers, breakthroughs and academic AI research
High-dimensional online calibration from harmonic weights
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Scen-Opt: A Scenario Optimization Toolbox for Data-Driven Convex Programming
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Trustworthy Method Comparison with AI Judges: Estimation and Design under Order, Batch, and Aggregation Effects
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Stochastic Gradient Descent Ascent is Suboptimal for Nonconvex-PL Min-Max Games
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Forecast Accuracy Is Not Trading Profit: Evolving Small Recurrent Networks for Stock Return Prediction
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A self-learning scientific agent for X-ray diffraction
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Learned Adaptive Multiresolution Diffusion Imaging
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Feature Encoding in VAE-based Audio Decoders: Effects of Input, Depth and Distribution
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FOSLS-deRhaNN: native de Rham neural classes for H(div) and H(curl) with applications to first-order system least-squares neural network methods for partial differential equations
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Beyond Marginal Monitoring: Distributed Joint-Distribution Testing for Data Concept Drift in Large Scale E-Commerce Operations
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Learning consistent molecular mechanics force fields from first principles
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