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    FoR-Net: Learning to Focus on Hard Regions for Efficient Semantic Segmentation

    Published in ArXiv cs.CV Recent Papers (2026)
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    Reinforcement Learning for LLM-based Multi-Agent Systems through Orchestration Traces

    Published in ArXiv cs.CL Recent Papers (2026)
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    Ontolearn---A Framework for Large-scale OWL Class Expression Learning in Python

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    PFLlib: A Beginner-Friendly and Comprehensive Personalized Federated Learning Library and Benchmark

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    Graph-SND: Sparse Aggregation for Behavioral Diversity in Multi-Agent Reinforcement Learning

    Published in ArXiv cs.MA Recent Papers (2026)
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    Characterizing Students' LLM Usage Behaviors and Their Association with Learning in Critical Thinking Tasks

    Published in ArXiv cs.HC Recent Papers (2026)
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    Orthogonal Bases for Equivariant Graph Learning with Provable k-WL Expressive Power

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    depyf: Open the Opaque Box of PyTorch Compiler for Machine Learning Researchers

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    Rethinking Local Learning: A Cheaper and Faster Recipe for LLM Post-Training

    Published in ArXiv cs.CL Recent Papers (2026)
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    Active Learning for Communication Structure Optimization in LLM-Based Multi-Agent Systems

    Published in ArXiv cs.MA Recent Papers (2026)
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    A Privacy-Preserving Machine Learning Framework for Edge Intelligence: An Empirical Analysis

    Published in ArXiv cs.DC Recent Papers (2026)
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    LLM-Enhanced Deep Reinforcement Learning for Task Offloading in Collaborative Edge Computing

    Published in ArXiv cs.DC Recent Papers (2026)
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    TAVIS: A Benchmark for Egocentric Active Vision and Anticipatory Gaze in Imitation Learning

    Published in ArXiv cs.CV Recent Papers (2026)
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    Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs

    Published in ArXiv cs.CR Recent Papers (2026)
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    BEACON: A Multimodal Dataset for Learning Behavioral Fingerprints from Gameplay Data

    Published in ArXiv cs.LG Recent Papers (2026)
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    A Fast Hierarchical Splitting Approach for Non-Adaptive Learning of Random Hypergraphs

    Published in ArXiv cs.IT Recent Papers (2026)
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    Enhancing Healthcare Search Intent Recognition with Query Representation Learning and Session Context

    Published in ArXiv cs.IR Recent Papers (2026)
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    Privacy-preserving Chunk Scheduling in a BitTorrent Implementation of Federated Learning

    Published in ArXiv cs.DC Recent Papers (2026)
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    Optimizing Server Placement for Vertical Federated Learning in Dynamic Edge/Fog Networks

    Published in ArXiv cs.DC Recent Papers (2026)
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    Multi-Tier Labeling and Physics-Informed Learning for Orbital Anomaly Detection at Scale

    Published in ArXiv cs.DC Recent Papers (2026)
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