A Unified Information-Theoretic Approach to Constrained Multi-Fidelity Multi-Objective Bayesian Optimization
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A conceptual framework for ideology in online discourse beyond the left and right
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Advancing LLM-based phoneme-to-grapheme for multilingual speech recognition
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Continuous Semantic Caching for Low-Cost LLM Serving
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m-Set Adversarial Bandits with Winner Feedback
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Steering Without Breaking: Mechanistically Informed Interventions for Discrete Diffusion Language Models
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Walk fast but be careful: Understanding Parallel Sampling in Masked Diffusion
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Edge Accuracy Is Not Enough: Why Dynamics-Learned Structure Fails to Transfer to Inverse Problems
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U-CECE: A Universal Multi-Resolution Framework for Conceptual Counterfactual Explanations
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A Resilience-as-a-Service assessment framework for coordinated disruption response in interdependent urban transit systems
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MOTIP2: Spatial Priors for End-to-End Multi-Object Tracking
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Persuasion Propagation: Does Persuasion Change AI Agent Behavior?
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