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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ProxyPose: 6-DoF Pose Tracking via Video-to-Video Translation
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RynnWorld-Teleop: An Action-Conditioned World Model for Digital Teleoperation
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From Passive Retrieval to Active Memory Navigation: Learning to Use Memory as a Structured Action Space
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Beyond the Leaderboard: A Synthesis of Tool-Use, Planning, and Reasoning Failures in Large Language Model Agents
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Skipping the rungs! Calibrating distance indicators through their clustering with galaxies
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Vision as Unified Multimodal Generation
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LLM-as-a-Verifier: A General-Purpose Verification Framework
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EdgeBench: Unveiling Scaling Laws of Learning from Real-World Environments
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Verbalizable Representations Form a Global Workspace in Language Models
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Unified Audio Intelligence Without Regressing on Text Intelligence
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Vision Pretraining for Dense Spatial Perception
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PixWorld: Unifying 3D Scene Generation and Reconstruction in Pixel Space
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GUSH3R: Everyone Everywhere All at Once as Gaussians
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SynCity 3000: Bootstrapping Scene-Scale 3D Diffusion
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Interpretable Human-Label-Free Deep Learning for Real-Bogus Classification with Uncertainty Quantification
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From Fixed to Free Cameras: Calibration-Free View-Robust Vision-Language-Action Model
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RoboDojo: A Unified Sim-and-Real Benchmark for Comprehensive Evaluation of Generalist Robot Manipulation Policies
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UI-MOPD: Multi-Platform On-Policy Distillation for Continual GUI Agent Learning
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Harness Engineering for Self-Improvement
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Gemma 4 Technical Report
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Purified OPSD: On-Policy Self-Distillation Without Losing How to Think
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OrbitQuant: Data-Agnostic Quantization for Image and Video Diffusion Transformers
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A-TMA: Decoupling State-Aware Memory Failures in Long-Term Agent Memory
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Program-as-Weights: A Programming Paradigm for Fuzzy Functions
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Geometric Signatures of Reasoning: A Spectral Perspective on Task Hardness
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An efficient probabilistic hardware architecture for diffusion-like models
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Set Diffusion: Interpolating Token Orderings Between Autoregression and Diffusion for Fast and Flexible Decoding
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WorldDirector: Building Controllable World Simulators with Persistent Dynamic Memory
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Can Language Models Actually Retrieve In-Context? Drowning in Documents at Million Token Scale
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HARC: Coupling Harmfulness and Refusal Directions for Robust Safety Alignment
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Measuring the Gap Between Human and LLM Research Ideas
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AutoMem: Automated Learning of Memory as a Cognitive Skill
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Right in the Right Way: LM Training with Verifiable Rewards and Human Demonstrations
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Is One Layer Enough? Training A Single Transformer Layer Can Match Full-Parameter RL Training
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Next-Generation Agentic Reinforcement Learning Systems Enable Self-Evolving Agents
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LeVLJEPA: End-to-End Vision-Language Pretraining Without Negatives
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Freeform Preference Learning for Robotic Manipulation
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MemLearner: Learning to Query Context memory for Video World Models
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SpheRoPE: Zero-Shot Optimization-Free 360 Panorama Generation with Spherical RoPE
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A New Look at AI's Impact on Jobs: Firm-Level AI Spending and Workforce Adjustment
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Intersection theorems over DG-rings revisited
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Agentic-Ideation: Sample Efficient Agentic Trajectories Synthesis for Scientific Ideation Agents
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MIRTH: Mutual-Information Reasoning with Temporal Hubs for Vision-Language-Action Agents
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AdaJEPA: An Adaptive Latent World Model
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QVal: Cheaply Evaluating Dense Supervision Signals for Long-Horizon LLM Agents
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FaceMoE: Mixture of Experts for Low-Resolution Face Recognition
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Arko-T: A Foundation Model for Text-to-Structured 3D Generation
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VLK: Learning Humanoid Loco-Manipulation from Synthetic Interactions in Reconstructed Scenes
