From Tables to Quantified Statements: Evaluating LLM Inference Generation through Executable Verification
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Calibrated Decisions at Scale: Converting Police Crash Narratives into Probabilistic Crash Variables with a System One Model (Jev)
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ITSY: Causal Discovery From Irregular Time-Series Data
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MDForge: Agentic Molecular Dynamics Pipeline Design under Sparse Simulator Feedback
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Feature Suppression and Differential Privacy for Residential Traffic Classification: A Two-Home Federated Study
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RRSI: Regularized Recursive Self-Improvement of Agent Harnesses
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SLICEChat: Progressive In-Encoder Token Pruning for Whole-Slide Pathology Language Models
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UK-PRBENCH: A Paragraph-Level Precedent Retrieval Benchmark for United Kingdom Case Law
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ARM: Attention with Routed-Memory for Learnable Sparse Control
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Extracting Arguments, Not Just Classifying Them: Instruction-Tuned LLMs for Generative Component Detection
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INTCORT: Training-Free Spatial Reasoning Enhancement for Vision-Language Models via Input Transformations and Confidence Routing
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Stealing profits: Spread-based temporal hierarchy forecasting for day-ahead electricity markets
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