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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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    How to Train Your Latent Diffusion Language Model Jointly With the Latent Space

    Published in ArXiv cs.CL Recent Papers (2026)
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    Evolutionary-Algorithm-Based Automatic Prompt Generation for Vision-Language Model Evaluation

    Published in IEEE Access (2025)
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    Lakestream: A Consistent and Brokerless Data Plane for Large Foundation Model Training

    Published in ArXiv cs.DC Recent Papers (2026)
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    Training-Free Cultural Alignment of Large Language Models via Persona Disagreement

    Published in ArXiv cs.CL Recent Papers (2026)
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    Score-Based Generative Modeling through Anisotropic Stochastic Partial Differential Equations

    Published in ArXiv cs.CE Recent Papers (2026)
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    The two clocks and the innovation window: When and how generative models learn rules

    Published in ArXiv cs.CC Recent Papers (2026)
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    GALFITools: A Python library to enhance GALFIT usage in galaxy image modeling

    Published in Journal of Open Source Software (2025)
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    Question Difficulty Estimation for Large Language Models via Answer Plausibility Scoring

    Published in ArXiv cs.IR Recent Papers (2026)
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    RecRM-Bench: Benchmarking Multidimensional Reward Modeling for Agentic Recommender Systems

    Published in ArXiv cs.IR Recent Papers (2026)
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    Modelling Expert Cognition Beyond Behaviour: towardss Interpretation, Tension, and Value Structures

    Published in ArXiv cs.HC Recent Papers (2026)
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    Human-AI Productivity Paradoxes: Modeling the Interplay of Skill, Effort, and AI Assistance

    Published in ArXiv cs.GT Recent Papers (2026)
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    Sieve: Dynamic Expert-Aware PIM Acceleration for Evolving Mixture-of-Experts Models

    Published in ArXiv cs.AR Recent Papers (2026)
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    Lifting Coalgebra Modalities and $mathsf{MELL}$ Model Structure to Eilenberg-Moore Categories

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    The parameterized space complexity of model-checking bounded variable first-order logic

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    Abstract Hidden Markov Models: a monadic account of quantitative information flow

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    Model Checking of Continuous-Time Markov Chains Against Timed Automata Specifications

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    A method for improving the robustness of neural network model for aerial image matching

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    Arabic word sense disambiguation: a survey in the era of transformer-based models

    Published in JDSA (2026)
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    Using AI large language models to assess dental history in systemic conditions

    Published in Discover AI (2026)
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