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

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

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  3. VOW: Verifiable and Oblivious Watermark Detection for Large Language Models

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

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  5. Beyond Decodability: Reconstructing Language Model Representations with an Encoding Probe

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

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

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

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

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

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

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  12. Computer-Aided Design Generation by Cascaded Discrete Diffusion Model

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

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

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

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

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

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

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

    Published in ArXiv cs.DS Recent Papers (2026)
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  20. FLAM: Evaluating Model Performance with Aggregatable Measures in Federated Learning

    Published in ArXiv cs.DC Recent Papers (2026)
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