Axiom Satisfiability of Linear Rewards in Alignment
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Memory Prediction Excess: A Probabilistic Quantity for Predictive Gain and Memory Length in Stochastic Processes
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Nonlocal Hamiltonian Dynamics on Sparse L\'evy Graphs: Spectral Analysis and Multimodal Sampling
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Where Does the Audio Jailbreak Live? A Controlled Frequency-Depth Audit of AdvWave-P on Qwen2-Audio
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Extending Music Annotation Schemas: Zero-Shot Prediction or Few-Shot Adaptation?
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Which Image Property Carries the Jailbreak? A Controlled Dissection of Image-to-Text Jailbreaks
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Low-Rank and Structured Sparse Tensor Decomposition for Anomaly Detection in Multivariate Functional Data
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Rethinking Fine-Tuning: Unlocking Hidden Capabilities in Vision-Language Models
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Stochastic Siamese MAE Pretraining for Longitudinal Medical Images
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Beyond Data Scaling: Representation-Centric Continued Pre-training for Vision-Language-Action Models
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FactorBench: A Portfolio-Aware Benchmark for Automated Factor Mining
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Multi-Scale Structural Features for Continual, Comprehensible Visual Recognition in a Developmental Learning Framework
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