Leverage data to contextualize competitive construction
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Measuring Model Performance in the Presence of an Intervention
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Fine-tune VLMs for multipage document-to-JSON with SageMaker AI and SWIFT
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Anatomy-Aware Lymphoma Lesion Detection in Whole-Body PET/CT
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Parametric Pareto Set Learning for Expensive Multi-Objective Optimization
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Automated Gravitational Lensing Anomaly Detection & Galactic Mass Profiling via Hyperdimensional Feature Extraction
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Bayesian Uncertainty Quantification with Anchored Ensembles for Robust EV Power Consumption Prediction
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Explainable Probabilistic Machine Learning for Predicting Drilling Fluid Loss of Circulation in Marun Oil Field
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NILC: Discovering New Intents with LLM-assisted Clustering
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Consistency Is Not Always Correct: Towards Understanding the Role of Exploration in Post-Training Reasoning
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FlowFeat: Pixel-Dense Embedding of Motion Profiles
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TAI #178: Kimi K2 Thinking Steals the Open-Source Crown With a New Agentic Contender
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Analysing Environmental Efficiency in AI for X-Ray Diagnosis
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Anchors in the Machine: Behavioral and Attributional Evidence of Anchoring Bias in LLMs
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EMOD: A Unified EEG Emotion Representation Framework Leveraging V-A Guided Contrastive Learning
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A Learning-Based Control Barrier Function for Car-Like Robots: Toward Less Conservative Collision Avoidance
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