Not All Is Lost: Repairing Lossy User Preference States of Personalization Encoders
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In Vino Veritas and Vulnerabilities: Examining LLM Safety via Drunk Language Inducement
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LEAD: Layer-wise Expert-aligned Decoding for Faithful Radiology Report Generation
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Learning Commute-Time-Preserving World Models for Planning
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DiDE:Direct Injection with Color-Texture DEcoupling for 3D Stylization
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Surface-volume self-supervised representation learning of brain MRI for genetic discovery
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EP-Flow: Disordered Crystal Structure Prediction without Site-Level Annotations
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Port-Hamiltonian Neural Networks for Systems with Multiple Asymptotically Stable Equilibria
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Action-On-Item Preference Flow: A Shared Event Schema for Predictive and Generative Personalization
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Form and Void: Entangled Composition through an Autonomous AI Agent
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Harnessing Domain Specialists in Multimodal Mixture-of-Experts for Efficient Adaptation
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Textual Planning with Explicit Latent Transitions
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