RecGPT-Mobile: On-Device Large Language Models for User Intent Understanding in Taobao Feed Recommendation

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Piper: Efficient Large-Scale MoE Training via Resource Modeling and Pipelined Hybrid Parallelism

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Driver-WM: A Driver-Centric Traffic-Conditioned Latent World Model for In-Cabin Dynamics Rollout

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External Validation of Deep Learning Models for BI-RADS Breast Density Prediction from Ultrasound Images

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Discrete Elastic Ribbons: A Unified Discrete Differential Geometry Framework for One-Dimensional Energy Models

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How Does Attention Help? Insights from Random Matrices on Signal Recovery from Sequence Models

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Geometrically Approximated Modeling for Emitter-Centric Ray-Triangle Filtering in Arbitrarily Dynamic LiDAR Simulation

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Intermediate Artifacts as First-Class Citizens: A Data Model for Durable Intermediate Artifacts in Agentic Systems

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Beyond GRPO and On-Policy Distillation: An Empirical Sparse-to-Dense Reward Principle for Language-Model Post-Training

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Large Language Models for Causal Relations Extraction in Social Media: A Validation Framework for Disaster Intelligence

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G$^2$TR: Generation-Guided Visual Token Reduction for Separate-Encoder Unified Multimodal Models

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Synthesizing nested relational queries from implicit specifications: via model theory and via proof theory

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Emotion Recognition in Javanese Music: A Comparative Study of Classifier Models with a Human-Annotated Dataset

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An Efficient Bidirectional Gated Recurrent Unit Approach for Student Study Duration Modeling and Timely Graduation Forecasting

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CDGRS-LOD model: leveraging linked open data in collaborative cross-domain group recommender system

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Hybrid machine learning models for automated classification of weld defects in gas metal arc robotic welding

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Climate-driven shifts in avocado suitability zones in India: Insights from ensemble modelling and niche hypervolume

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Knowledge graph-based intelligent data management and information innovation service model for university library systems

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pyforce: Python Framework for data-driven model Order Reduction of multi-physiCs problEms

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Detecting Concept Drift in Object Detection Models: A Collaborative AI-Human Approach for Defense Applications

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