MongoDB - Build AI That Scales
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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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Process-of-Thought Reasoning for Videos
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Mode Seeking meets Mean Seeking for Fast Long Video Generation
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CUDA Agent: Large-Scale Agentic RL for High-Performance CUDA Kernel Generation
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Exploratory Memory-Augmented LLM Agent via Hybrid On- and Off-Policy Optimization
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SceneTransporter: Optimal Transport-Guided Compositional Latent Diffusion for Single-Image Structured 3D Scene GenerationTsinghua University
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SkyReels-V4: Multi-modal Video-Audio Generation, Inpainting and Editing model
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Generative Recommendation for Large-Scale Advertising
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Exploratory Memory-Augmented LLM Agent via Hybrid On- and Off-Policy Optimization
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VGG-T3: Offline Feed-Forward 3D Reconstruction at Scale
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DualPath: Breaking the Storage Bandwidth Bottleneck in Agentic LLM Inference
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TrajTok: Learning Trajectory Tokens enables better Video Understanding
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World Guidance: World Modeling in Condition Space for Action Generation
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World Guidance: World Modeling in Condition Space for Action Generatio
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The Design Space of Tri-Modal Masked Diffusion Models
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WebGym: Scaling Training Environments for Visual Web Agents with Realistic Tasks
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Test-Time Training with KV Binding Is Secretly Linear Attention
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gQIR: Generative Quanta Image Reconstruction
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Compositional Planning with Jumpy World Models
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SenTSR-Bench: Thinking with Injected Knowledge for Time-Series Reasoning
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Toward the Thermodynamic Limit: Neural Operators for Non-equilibrium Dynamics of Mott Insulators
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Beyond a Single Extractor: Re-thinking HTML-to-Text Extraction for LLM Pretraining
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Haitao Lin
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How to Train Your Deep Research Agent? Prompt, Reward, and Policy Optimization in Search-R1
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Discovering Multiagent Learning Algorithms with Large Language Models
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ASTRA-bench: Evaluating Tool-Use Agent Reasoning and Action Planning with Personal User Context
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Wink: Recovering from Misbehaviors in Coding Agents
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Natural Language Actor-Critic: Scalable Off-Policy Learning in Language Space
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Generated Reality: Human-centric World Simulation using Interactive Video Generation with Hand and Camera ControlStanford University
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The Geometry of Noise: Why Diffusion Models Don't Need Noise Conditioning
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SARAH: Spatially Aware Real-time Agentic Humans
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MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention
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El Agente Gráfico: Structured Execution Graphs for Scientific Agents
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Unified Latents (UL): How to train your latents
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Tuning-free Visual Effect Transfer across Videos
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EVMbench: Evaluating AI Agents on Smart Contract Security
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EgoScale: Scaling Dexterous Manipulation with Diverse Egocentric Human Data
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Perceptive Humanoid Parkour: Chaining Dynamic Human Skills via Motion Matching
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jina-embeddings-v5-text: Task-Targeted Embedding Distillation
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World Action Models are Zero-shot Policies
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On Surprising Effectiveness of Masking Updates in Adaptive Optimizers
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GLM-5: from Vibe Coding to Agentic Engineering
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Image Generation with a Sphere Encoder
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BitDance: Scaling Autoregressive Generative Models with Binary Tokens
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Experiential Reinforcement Learning
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Chain of Thought Monitorability: A New and Fragile Opportunity for AI Safety
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3D-Aware Implicit Motion Control for View-Adaptive Human Video Generation
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Unifying Ranking and Generation in Query Auto-Completion via Retrieval-Augmented Generation and Multi-Objective Alignment
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Isaac Lab: A GPU-Accelerated Simulation Framework for Multi-Modal Robot Learning
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WizardLM: Empowering large pre-trained language models to follow complex instructions
