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    Fundamental Limits of Membership Inference Attacks on Machine Learning Models

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    Legal Model of Conservation in the Galápagos Islands: Replicable Lessons for Sustainability

    Published in Quality Innovation Prosperity (2026)
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    Reliever: Relieving the Burden of Costly Model Fits for Changepoint Detection

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    VOW: Verifiable and Oblivious Watermark Detection for Large Language Models

    Published in ArXiv cs.CR Recent Papers (2026)
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    skglm: Improving scikit-learn for Regularized Generalized Linear Models

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    Beyond Decodability: Reconstructing Language Model Representations with an Encoding Probe

    Published in ArXiv cs.CL Recent Papers (2026)
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    Adversarial Update-Based Federated Unlearning for Poisoned Model Recovery

    Published in ArXiv cs.CR Recent Papers (2026)
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    FINER-SQL: Boosting Small Language Models for Text-to-SQL

    Published in ArXiv cs.MA Recent Papers (2026)
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    Pretrained Model Representations as Acquisition Signals for Active Learning of MLIPs

    Published in ArXiv cs.LG Recent Papers (2026)
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    A Few-Step Generative Model on Cumulative Flow Maps

    Published in ArXiv cs.GR Recent Papers (2026)
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    The Counterexample Game: Iterated Conceptual Analysis and Repair in Language Models

    Published in ArXiv cs.CL Recent Papers (2026)
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    Extremal graphical modeling with latent variables via convex optimization

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    Computer-Aided Design Generation by Cascaded Discrete Diffusion Model

    Published in ArXiv cs.CV Recent Papers (2026)
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    Assessing Generalisation Capability of Machine Learning Models for Intrusion Detection

    Published in ArXiv cs.CR Recent Papers (2026)
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    Bayesian Sparse Gaussian Mixture Model for Clustering in High Dimensions

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    Concept-Based Abductive and Contrastive Explanations for Behaviors of Vision Models

    Published in ArXiv cs.LG Recent Papers (2026)
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    Logarithmic Mixing of Random Walks on Dynamical Random Cluster Models

    Published in ArXiv cs.DM Recent Papers (2026)
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    Semantic Smoothing for Language Models via Distribution Estimation and Embeddings

    Published in ArXiv cs.IT Recent Papers (2026)
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    Developing explainablemachine learning model usingaugmented concept activation vector

    Published in Computer Science (2025)
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    Equivalence of Coarse and Fine-Grained Models for Learning with Distribution Shift

    Published in ArXiv cs.DS Recent Papers (2026)
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