Covert Signaling for Communication and Sensing over the Bosonic Channels

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Semantic Smoothing for Language Models via Distribution Estimation and Embeddings

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When Diffusion Model Can Ignore Dimension: An Entropy-Based Theory

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Physics-Inspired Probabilistic Computing for Extremely Large-Scale MIMO Detection in Future 6G Wireless Systems

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Beam-Aware Radio Map Estimation With Physics-Consistent Parametric Modeling for Unknown Multiple Satellites

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Future Validity is the Missing Statistic: From Impossibility to $Φ$-Estimation for Grammar-Faithful Speculative Decoding

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THE BENEFITS OF TESTING SOFTWARE IN SE RESEARCH: LESSONS LEARNED FROM TWO PhD PROJECTS

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Kolmogorov--Nagumo Mean Frameworks for Conditional Entropy

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A Syndrome-Space Approach to Proximity Gaps and Correlated Agreement for Random Linear Codes

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A Log-Domain Approximation of SOCS Decoding for Turbo Product Codes

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UMVUE-Type Estimators under Bregman Losses

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How Big Should a Wireless Foundation Model Be?

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Movable Subarray-Aided Hybrid Beamforming for Near-Field Multiuser Communications

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Sub-Gaussian Concentration and Entropic Normality of the Maximum Likelihood Estimator

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Theoretical Limits of Language Model Alignment

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$f$-Divergence Regularized RLHF: Two Tales of Sampling and Unified Analyses

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Hybrid Multiport Receivers for Slow Fluid Antenna Multiple Access

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Developing explainablemachine learning model usingaugmented concept activation vector

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A Unified Measure-Theoretic View of Diffusion, Score-Based, and Flow Matching Generative Models

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How Does Attention Help? Insights from Random Matrices on Signal Recovery from Sequence Models

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