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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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    FLAM: Evaluating Model Performance with Aggregatable Measures in Federated Learning

    Published in ArXiv cs.DC Recent Papers (2026)
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    Object Hallucination-Free Reinforcement Unlearning for Vision-Language Models

    Published in ArXiv cs.CV Recent Papers (2026)
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    Vaporizer: Breaking Watermarking Schemes for Large Language Model Outputs

    Published in ArXiv cs.CR Recent Papers (2026)
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    Mind Modeling: A ToM-Based Framework for Personalization

    Published in ArXiv cs.HC Recent Papers (2026)
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    HapticLDM: A Diffusion Model for Text-to-Vibrotactile Generation

    Published in ArXiv cs.HC Recent Papers (2026)
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    The stochastic block model has the overlap graph property for modularity

    Published in ArXiv cs.DS Recent Papers (2026)
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    PhyGround: Benchmarking Physical Reasoning in Generative World Models

    Published in ArXiv cs.CV Recent Papers (2026)
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    Optimal Interventions on the Linear Threshold Model in Large-Scale Networks

    Published in ArXiv cs.GT Recent Papers (2026)
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    Reconstruction of Personally Identifiable Information from Supervised Finetuned Models

    Published in ArXiv cs.CR Recent Papers (2026)
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    Scalable Token-Level Hallucination Detection in Large Language Models

    Published in ArXiv cs.CL Recent Papers (2026)
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    Pretraining Exposure Explains Popularity Judgments in Large Language Models

    Published in ArXiv cs.CL Recent Papers (2026)
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    On the evolution of the company we keep: Implications for infectious disease modeling

    Published in PLOS Medicine Atom (2026)
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