Recompose and Refine Latent Reasoning Flows for Vision-Language-Action Models
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New papers, breakthroughs and academic AI research
Structure Tax: How Structured Output affects LLMs Performance
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Not Every Change Is Necessary: Recoverable Drift in Large Language Model Unlearning
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OA-MAP: Evidence-Grounded Multi-Agent Multimodal Framework for Interpretable Knee Osteoarthritis Progression
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EvoAlloc: A Self-Evolving Resource Allocation Agent for Efficient Program Evolution
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When History Helps and Hurts: Selective History Use across Multimodal Turns
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Can Decision Models Understand Stance? Evaluating Jev Against General-Purpose LLMs
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Q-Shaped Options for Hierarchical Reinforcement Learning
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Instruction-Conditioned Electromagnetic Spectrum Understanding via Budget-Adaptive Signal Tokenization
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Learning to Plan by Looking Back: Hindsight Hierarchies for Training Reasoning Models
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FastJEV: Understanding Redundancy for Compact JEV Inference
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EvoKnow: Continual Knowledge Evolution for AI-Generated Image Detection
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