HyperThink: Text-to-Parameter Hypernetworks for Efficient Reasoning
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ViTok: Improving Dense Semantics in AM-RADIO-Style Multi-Teacher Distillation with PHI-S and Masked Image Modelling
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On the Chain-of-Thought Monitorability of Looped Language Models
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MetaRubric: Learning to Reward for Rubric-Based Reinforcement Learning
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Revealing Epistemic Uncertainty in MLLMs via Causal-Invariant Masking
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The Geometry of Knowledge Accessibility in Large Language Models
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Unmasking Propaganda: A Comparative Analysis of Masked and Causal Language Models
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PAPER2LLM++: Continual Self-Evolution of LLMs from Research Papers
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VIGOR: Zero-Shot Visual Generalization via Latent-Space Consistency in Model-Based Reinforcement Learning
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VisAudit: Evaluating Multimodal Agents for Visual Diagnosis and Repair
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Custom Forcing: Training-Free Subject Customization for Autoregressive Video Generation
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HARPO: Hallucination-Aware Reinforcement Learning for Faithful and Creative Language Generation
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