YOLOv12: Attention-Centric Real-Time Object Detectors
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YOLOv12: Attention-Centric Real-Time Object Detectors
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You Do Not Fully Utilize Transformer's Representation Capacity
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Train Small, Infer Large: Memory-Efficient LoRA Training for Large
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You Do Not Fully Utilize Transformer's Representation Capacity
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Train Small, Infer Large: Memory-Efficient LoRA Training for Large Language Models
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2502.13533
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Enhancing Cognition and Explainability of Multimodal Foundation Models with Self-Synthesized Data
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2502.14044
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From RAG to Memory: Non-Parametric Continual Learning for Large Language Models
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2502.14802
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Discovering highly efficient low-weight quantum error-correcting codes with reinforcement learning
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2502.14372
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How Much Knowledge Can You Pack into a LoRA Adapter without Harming LLM?
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2502.14502
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TAG: A Decentralized Framework for Multi-Agent Hierarchical Reinforcement Learning
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2502.15425
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Reflective Planning: Vision-Language Models for Multi-Stage Long-Horizon Robotic Manipulation
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2502.16707
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Curie: Toward Rigorous and Automated Scientific Experimentation with AI Agents
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2502.16069
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