Multi-View Fair Clustering Guided by Cross-View Sensitive Information Discrepancy
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New papers, breakthroughs and academic AI research
PACE-dLLM: Elastic Block Decoding via Confidence Cliff Estimation for Diffusion Language Models
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Protocol before progress: leakage-aware evaluation of AIS trajectory prediction
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Beyond Static Charts: Can Language and Vision Language Models Generate Interactive Data Visualization Interfaces?
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RCShift: Certifying When Partial Linkage Suffices for Finite-Sample Decisions
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Gaussian Flow-Matching Schedules: Implications for Sampling and Training
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Same Chart, Different Story: Bias in Vision-Language Chart Interpretation
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Neural Approximation by Function Composition: Rigidity and Doubly Exponential Convergence
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Damage Predicts Recovery: When Calibration Data Matters in Compressing Financial LLMs
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GameDirector: Decoupling Gameplay Logic from Rendering for Player-Configurable Game World Models
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Blaming Across the Aisle: Political Contrasting and Blame Attribution in the Danish Parliament
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EADC: Evaluation of Advanced and Deep-level Compliance in Large Language Models
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