Papers
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Where can AI be used? Insights from a deep ontology of work activitiesFeatured
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Developments in Artificial Intelligence markets: New indicators based on model characteristics, prices and providersFeatured
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TopoRetarget: Interaction-Preserving Retargeting for Dexterous Manipulation
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DreamX-World 1.0: A General-Purpose Interactive World Model
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Human Universal Grasping
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ART-Glove: Articulated Tactile Glove for Contact-Grounded Dexterous Interaction Capture
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Qwen-RobotWorld Technical Report: Unifying Embodied World Modeling through Language-Conditioned Video Generation
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Universal Manipulation Exoskeleton: Learning Compliant Whole-body Policies with Real-time Torque Feedback
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Efficient On-Device Diffusion LLM Inference with Mobile NPU
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VHDLSuite: Unified Pipeline for LLM VHDL Generation with Data Synthesis and Evaluation
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$μ_0$: A Scalable 3D Interaction-Trace World Model
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Surflo: Consistent 3D Surface Flow Model with Global State
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MaxProof: Scaling Mathematical Proof with Generative-Verifier RL and Population-Level Test-Time Scaling
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MiniMax Sparse Attention
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Pythagoras-Prover: Advancing Efficient Formal Proving via Augmented Lean Formalisation
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When is Your LLM Steerable?
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Breaking Entropy Bounds: Accelerating RL Training via MTP with Rejection Sampling
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RLCSD: Reinforcement Learning with Contrastive On-Policy Self-Distillation
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From AGI to ASI
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FACTR 2: Learning External Force Sensing for Commodity Robot Arms Improves Policy Learning
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Test-Time Gradient Guidance of Flow Policies in Reinforcement Learning
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Recalling Too Well: Sycophancy Evaluation and Mitigation in Memory-Augmented Models
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How AI Agents Reshape Knowledge Work: Autonomy, Efficiency, and Scope
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How AI Agents Reshape Knowledge Work: Autonomy, Efficiency, and Scope
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Latent Reasoning with Normalizing Flows
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Slim attention: cut your context memory in half without loss – K-cache is all you need for MHA
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MAI-Thinking-1: Building a Hill-Climbing Machine
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AFUN: Towards an Affordance Foundation Model for Functionality Understanding
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MPMWorlds: Material-Point-Method Simulations for Inferring and Extrapolating Physical Dynamics
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Harness-1: Reinforcement Learning for Search Agents with State-Externalizing Harnesses
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RealityTest: How People Probe AI Identity and Whether Models Disclose It
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Representation Forcing for Bottleneck-Free Unified Multimodal Models
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mRNAutilus: Multi-Objective-Guided Discrete Generation of mRNA with Optimized Therapeutic Properties
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Stable-Layers: Fine-Tuning Image Layer Decomposition Models with VLM-Scored Reinforcement Learning
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The Little Book of Generative AI Foundations: An Intuitive Mathematical Primer
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Scaling Laws for Agent Harnesses via Effective Feedback Compute
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Harness Updating Is Not Harness Benefit: Disentangling Evolution Capabilities in Self-Evolving LLM Agents
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Qwen-VLA: Unifying Vision-Language-Action Modeling across Tasks, Environments, and Robot Embodiments
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AutoScientists: Self-Organizing Agent Teams for Long-Running Scientific Experimentation
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Self-Improving Language Models with Bidirectional Evolutionary Search
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Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players
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Elias in the Lighthouse, Again? Diagnosing Low Diversity in LLM Stories
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Laguna M.1/XS.2 Technical Report
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Learn from your own latents and not from tokens: A sample-complexity theory
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MobileMoE: Scaling On-Device Mixture of Experts
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Gemini Embedding 2: A Native Multimodal Embedding Model from Gemini
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The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence
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When Does LeJEPA Learn a World Model?
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Unified Neural Scaling Laws
MongoDB - Build AI That Scales
