templar: agentic induction and evolution of standardized radiology reporting templates from large-scale clinical corpora
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Robust Parameter-Efficient LLM Adaptation on Analog Hardware
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TasteRoute: Personalized Routing for Video Generation
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Bayesian Entropy-based Reordering for Calibrated Diffusion Language Models
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Conditional Rank Allocation for Taxonomy-Aware Medical Language Model Adaptation
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Arithmetic Actor Heads and Training Stabilization for Out-of-Distribution Reinforcement Learning
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Cross-Time Directional Selection in Diffusion Sampling
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Beyond Private Training: The New Landscape of AI Privacy
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The Pushback Paradox: A Two-Probe Diagnostic for Language Model Compliance
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Back to the Future: Rethinking EDA Infrastructure for Agentic Systems in Chip Design Verification
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Measuring Learned Monotone Temporal Aggregation at Matched Admissibility
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Using Process Mining to Generate AI Agents from Software Engineering Process Records
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