ChainLoRA: Geometry-Preserving Task Vector Merging for Continual Learning in LLMs
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AIR-LLM: Broadcasting AI Weights over Radio for Memory-Free Edge LLM Inference via RF Computing
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Fractional Laplace Neural Operators: Exact Architectures, an Expressivity Frontier at Criticality, and Certified Stability for Memory-Driven Network Dynamics
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ScaffoldM3C: A Multimodal Sequential Monte Carlo Framework for Generative Stable Construction Planning
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Adaptive Conformal Prediction for Image Regression Models with Application to an Inertial Confinement Fusion Emulator
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Heteroskedastic Canonical Polyadic Tensor Decomposition
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Scaling Collider Event Generation with Residual-Quantized Tokens
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Same Scene, Different Task: Skill Alignment for Compositional Generalization in VLAs
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Generative Modeling of Stochastic Dynamics for Long-Time Evolution
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Mean Spatial Frequency Decoupling for Learning-Based Uplink-to-Downlink Covariance Conversion in FDD Massive MIMO
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End-to-End Historical Music Restoration in Latent Space
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On Evaluating Quantum Kernel Robustness for Low-Resource Cross-Corpus Audio Deepfake Detection
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