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    Optimal subsampling for high-dimensional partially linear models via machine learning methods

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    Automating Categorization of Scientific Texts with In-Context Learning and Prompt-Chaining in Large Language Models

    Published in ArXiv cs.DL Recent Papers (2026)
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    Visual Generation in the New Era: An Evolution from Atomic Mapping to Agentic World Modeling

    Published in ArXiv cs.CV Recent Papers (2026)
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    Clostridioides difficile colonization amplification despite limited in-hospital transmission: A modeling study

    Published in PLOS Medicine Atom (2026)
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    Model Checking for Low Monodimensionality Fragments of CMSO on Topological-Minor-Free Graph Classes

    Published in ArXiv cs.LO Recent Papers (2026)
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    Foundation AI Models for Aerosol Optical Depth Estimation from PACE Satellite Data

    Published in ArXiv cs.CV Recent Papers (2026)
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    A Comparative Analysis of Machine Learning Models for Intrusion Detection in Intelligent Transport Systems

    Published in ArXiv cs.CR Recent Papers (2026)
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    Distribution Free Tests for Model Selection Based on Maximum Mean Discrepancy with Estimated Parameters

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    Seeking Information with RAG-Assistants: Does Model Size Matter in Human-AI Collaborations?

    Published in ArXiv cs.IR Recent Papers (2026)
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    When Audio-Language Models Fail to Leverage Multimodal Context for Dysarthric Speech Recognition

    Published in ArXiv cs.CL Recent Papers (2026)
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    A Domain Incremental Continual Learning Benchmark for ICU Time Series Model Transportability

    Published in ArXiv cs.LG Recent Papers (2026)
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    StateVLM: A State-Aware Vision-Language Model for Robotic Affordance Reasoning

    Published in ArXiv cs.CV Recent Papers (2026)
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    DAGs as Minimal I-maps for the Induced Models of Causal Bayesian Networks under Conditioning

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    Cognitive Alignment Drives Attention: Modeling and Supporting Socially Shared Regulation in Pair Programming

    Published in ArXiv cs.HC Recent Papers (2026)
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    D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models

    Published in ArXiv cs.CV Recent Papers (2026)
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    Reconstruction or Semantics? What Makes a Latent Space Useful for Robotic World Models

    Published in ArXiv cs.CV Recent Papers (2026)
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    Decidability Results for Fragments of First-Order Logic via a Symbolic Model Property

    Published in ArXiv cs.LO Recent Papers (2026)
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    UniSD: Towards a Unified Self-Distillation Framework for Large Language Models

    Published in ArXiv cs.LG Recent Papers (2026)
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    Bridging Passive and Active: Enhancing Conversation Starter Recommendation via Active Expression Modeling

    Published in ArXiv cs.IR Recent Papers (2026)
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    Cross-individual generalizability of machine learning models for ball speed prediction in baseball pitching

    Published in ArXiv cs.HC Recent Papers (2026)
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