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    Power Reinforcement Post-Training of Text-to-Image Models with Super-Linear Advantage Shaping

    Published in ArXiv cs.CV Recent Papers (2026)
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    Can You Keep a Secret? Involuntary Information Leakage in Language Model Writing

    Published in ArXiv cs.CR Recent Papers (2026)
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    MATRA: Modeling the Attack Surface of Agentic AI Systems -- OpenClaw Case Study

    Published in ArXiv cs.CR Recent Papers (2026)
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    Agentic AI for Particle-Based Simulation: Automating SPH Workflows for Debris Flow Modeling

    Published in ArXiv cs.CE Recent Papers (2026)
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    Predicting Decisions of AI Agents from Limited Interaction through Text-Tabular Modeling

    Published in ArXiv cs.MA Recent Papers (2026)
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    Multi-Stream LLMs: Unblocking Language Models with Parallel Streams of Thoughts, Inputs and Outputs

    Published in ArXiv cs.LG Recent Papers (2026)
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    EHR-RAGp: Retrieval-Augmented Prototype-Guided Foundation Model for Electronic Health Records

    Published in ArXiv cs.IR Recent Papers (2026)
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    Design Your Ad: Personalized Advertising Image and Text Generation with Unified Autoregressive Models

    Published in ArXiv cs.IR Recent Papers (2026)
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    Test-Time Compute for Dense Retrieval: Agentic Program Generation with Frozen Embedding Models

    Published in ArXiv cs.IR Recent Papers (2026)
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    Making Abstraction Concrete: A Design Space and Interaction Model of Abstraction in Interactive Systems

    Published in ArXiv cs.HC Recent Papers (2026)
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    A nonlinear extension of parametric model embedding for dimensionality reduction in parametric shape design

    Published in ArXiv cs.CE Recent Papers (2026)
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    A multi-frequency whole-brain neural mass model with homeostatic feedback inhibition

    Published in PLOS Computational Biology Atom (2026)
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    Human mobility and outbreak origins in epidemic spread: Insights from agent-based modeling

    Published in PLOS Computational Biology Atom (2026)
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    The extensional realizability model of continuous functionals and three weakly non-constructive classical theorems

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    Partial Model Checking using Networks of Labelled Transition Systems and Boole an Equation Systems

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    A bayesian-driven feedforward neural network model for Kafka cluster latency forecasting

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    Comparison of equivalent circuit and machine learning methods for CubeSat battery discharge modeling

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    Analysis of packet loss probability models in a router buffer based on traffic fractality

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    Merge-YOLO: An accurate detection model for book packaging defects in intelligent logistics scenarios

    Published in PLOS ONE (2026)
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    Leveraging artificial intelligence for predictive modelling of consumer buying intentions on E-Commerce platforms

    Published in Discover AI (2026)
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