Recognition, Simulation, and Refusal: A Contamination-Aware Study of Classic Psychological Effects in LLM Agents
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TreeSpark: Calibrated, Load-Adaptive Draft Trees for Semi-Autoregressive Speculative Decoding
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Context Poisoning as Extreme-Value Attention Interference in Long-Context Language Models
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Hierarchical Bayesian optimization of an aircraft-based multi-agent system-of-systems
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Brain-to-Image Generation: Reconstructing Visual Stimuli from EEG using Generative Adversarial Networks
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Rethinking Streaming Video Diffusion Model: Context, Execution, and Training
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Correcting Learning-based Perception for Safety
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A Shared Learning Rate Is Not a Neutral Control in Selective On-Policy Distillation
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Beyond the Survey: A Systematic Empirical Study of Detection and Association in Visual MOT
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Toward Fairness in Machine Learning Models for Predicting Treatment Retention and Premature Discontinuation in Medication for Opioid Use Disorder
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Modelling daily activity patterns from mobile phone location data via deep representation learning
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On The Robustness-Resolution Tradeoff In Temporal Quantization Of Event Streams
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