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Enhancing Large Language Model Reasoning with Concise Outputs

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Meta’s SPICE Framework: A New Era of Self-Improving AI Systems

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Precision Training: Crafting Powerful GUI Agents with Filtered Data

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Geometric Action Control: A Simpler Path to Continuous Reinforcement Learning

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STV: Smarter In-Context Learning for Multimodal AI

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DeepProofLog: A Scalable Approach to Neurosymbolic AI with Efficient Proof Generation

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Unifying Vision and Language for Embodied Robot Planning

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CoPRIS: Accelerating Large Language Model Training with Smart Concurrency and Importance Sampling

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SymLight: Unlocking Interpretable and Deployable Traffic Signal Control

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WAR-Re: Enhancing Web API Recommendations with Explanations and Flexible Choices

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AI Learns to Stabilize Power Grids: Adaptive Control for Sub-Synchronous Oscillations

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Reinforcement Learning: A Navigator, Not Just a Memorizer, for LLM Knowledge

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Adaptive Agent Networks for Robust Image-to-Point Cloud Registration

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Unpacking Entropy’s Role in Large Language Model Reasoning

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Building Adaptive AI: MrCoM’s Approach to Multi-Scenario Reinforcement Learning

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Smart Traffic: How AI Agents Are Learning to Model Our Commutes

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Enhancing Comic Comprehension in AI: A New Benchmark and Zoom-In Learning Approach

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New Simulation Method Speeds Up Soft Robot Control Development

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Smarter Training for Multimodal AI: How Data Difficulty Shapes Learning

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Physics-Informed AI Helps Robots Set Achievable Learning Goals

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Advancing Online Reinforcement Learning with Trajectory-Level Flow Matching

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Boosting Recommendation Accuracy with Reinforcement Learning for Diffusion Models

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Enhancing AI Learning: How New Attention Mechanisms Improve Reinforcement Learning

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Tiny Bits, Big Impact: Quantized AI Controllers for Real-Time Robotics

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Faster Learning from Demonstrations: An Off-Policy Imitation Algorithm

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Ataraxos AI Achieves Superhuman Stratego Performance at Minimal Cost

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New Dataset Enhances AI’s Understanding of Desktop Interfaces

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Unpacking the Role of Exploration in AI Reasoning: Why Rare Thoughts Matter

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SPATIALTHINKER: Advancing 3D Spatial Understanding in Multimodal AI Models

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Robots Learn Real-World Tasks by Modeling Physics from Generated Videos

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