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Infinite-World: Scaling Interactive World Models to 1000-Frame Horizons via Pose-Free Hierarchical Memory
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CVE-Factory: Scaling Expert-Level Agentic Tasks for Code Security Vulnerability
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LIVE: Long-horizon Interactive Video World Modeling
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AgentArk: Distilling Multi-Agent Intelligence into a Single LLM Agent
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Generative Engine Optimization: A VLM and Agent Framework for Pinterest Acquisition Growth
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Accelerating Scientific Research with Gemini: Case Studies and Common Techniques
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Closing the Loop: Universal Repository Representation with RPG-Encoder
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Understanding Agent Scaling in LLM-Based Multi-Agent Systems via Diversity
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AutoFigure: Generating and Refining Publication-Ready Scientific Illustrations
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Agent Primitives: Reusable Latent Building Blocks for Multi-Agent Systems
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Generative AI for Enzyme Design and Biocatalysis
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Small Generalizable Prompt Predictive Models Can Steer Efficient RL Post-Training of Large Reasoning Models
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HunyuanImage 3.0 Technical Report
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MAIN-VLA: Modeling Abstraction of Intention and eNvironment for Vision-Language-Action Models
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OneMall: One Architecture, More Scenarios -- End-to-End Generative Recommender Family at Kuaishou E-Commerce
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SCAIL: Towards Studio-Grade Character Animation via In-Context Learning of 3D-Consistent Pose Representations
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An Empirical Study on Noisy Data and LLM Pretraining Loss Divergence
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Interpretable Tabular Foundation Models via In-Context Kernel Regression
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RFS: Reinforcement Learning with Residual Flow Steering for Dexterous Manipulation
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CUA-Skill: Develop Skills for Computer Using Agent
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ReasonCACHE: Teaching LLMs To Reason Without Weight Updates
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SimMerge: Learning to Select Merge Operators from Similarity Signals
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Argument Rarity-based Originality Assessment for AI-Assisted WritingRitsumeikan Global Innovation Research Organization
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AgentRx: Diagnosing AI Agent Failures from Execution Trajectories
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X-Coder: Advancing Competitive Programming with Fully Synthetic Tasks, Solutions, and Tests
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What Does Vision Tool-Use Reinforcement Learning Really Learn? Disentangling Tool-Induced and Intrinsic Effects for Crop-and-Zoom
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DeepPlanning: Benchmarking Long-Horizon Agentic Planning with Complex Real-World Tasks
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Toward Fully Autonomous Driving: AI, Challenges, Opportunities, and Needs
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AlignGemini: Generalizable AI-Generated Image Detection Through Task-Model Alignment
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SpanNorm: Reconciling Training Stability and Performance in Deep Transformers
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Post-LayerNorm Is Back: Stable, ExpressivE, and Deep
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MemoryLLM: Plug-n-Play Interpretable Feed-Forward Memory for Transformers
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LLM-42: Enabling Determinism in LLM Inference with Verified Speculation
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The Hot Mess of AI: How Does Misalignment Scale With Model Intelligence and Task Complexity?
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Lost in Transmission: When and Why LLMs Fail to Reason Globally
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PaddleOCR-VL-1.5: Towards a Multi-Task 0.9B VLM for Robust In-the-Wild Document Parsing
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PI-Light: Physics-Inspired Diffusion for Full-Image Relighting
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M2XFP: A Metadata-Augmented Microscaling Data Format for Efficient Low-bit Quantization
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Youtu-Parsing: Perception, Structuring and Recognition via High-Parallelism Decoding
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Thought-Transfer: Indirect Targeted Poisoning Attacks on Chain-of-Thought Reasoning Models
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DeepSeek-OCR 2: Visual Causal Flow
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WorldVQA: Measuring Atomic World Knowledge in Multimodal Large Language Models
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Efficient Autoregressive Video Diffusion with Dummy Head
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Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
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Youtu-VL: Unleashing Visual Potential via Unified Vision-Language Supervision
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Astra: General Interactive World Model with Autoregressive Denoising
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Towards Pixel-Level VLM Perception via Simple Points Prediction
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Differentiable Semantic ID for Generative Recommendation
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Dep-Search: Learning Dependency-Aware Reasoning Traces with Persistent Memory
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Agentic Very Long Video Understanding
