PAN: A World Model for General, Interactable, and Long-Horizon World Simulation

One Small Step in Latent, One Giant Leap for Pixels: Fast Latent Upscale Adapter for Your Diffusion Models

YOLOv13: Real-Time Object Detection with Hypergraph-Enhanced Adaptive Visual Perception

MonkeyOCR: Document Parsing with a Structure-Recognition-Relation Triplet Paradigm

Consensus Sampling for Safer Generative AI

Argus: Resilience-Oriented Safety Assurance Framework for End-to-End ADSs

WMPO: World Model-based Policy Optimization for Vision-Language-Action Models

LoopTool: Closing the Data-Training Loop for Robust LLM Tool Calls

Beyond Fact Retrieval: Episodic Memory for RAG with Generative Semantic Workspaces

TiDAR: Think in Diffusion, Talk in Autoregression

Time-to-Move: Training-Free Motion Controlled Video Generation via Dual-Clock Denoising

Lumine: An Open Recipe for Building Generalist Agents in 3D Open Worlds

Generating an Image From 1,000 Words: Enhancing Text-to-Image With Structured Captions

KLASS: KL-Guided Fast Inference in Masked Diffusion Models

Grounding Computer Use Agents on Human Demonstrations

Wasm: A Pipeline for Constructing Structured Arabic Interleaved Multimodal Corpora

Adaptive Multi-Agent Response Refinement in Conversational Systems

SPAN: Spatial-Projection Alignment for Monocular 3D Object Detection

Efficient Approximation of Volterra Series for High-Dimensional Systems

SofT-GRPO: Surpassing Discrete-Token LLM Reinforcement Learning via Gumbel-Reparameterized Soft-Thinking Policy Optimization

RedOne 2.0: Rethinking Domain-specific LLM Post-Training in Social Networking Services

The Station: An Open-World Environment for AI-Driven Discovery

DRIVE: Data Curation Best Practices for Reinforcement Learning with Verifiable Reward in Competitive Code Generation

IterResearch: Rethinking Long-Horizon Agents via Markovian State Reconstruction

HaluMem: Evaluating Hallucinations in Memory Systems of Agents

GVPO: Group Variance Policy Optimization for Large Language Model Post-Training

ReCA: Integrated Acceleration for Real-Time and Efficient Cooperative Embodied Autonomous Agents

DexFlyWheel: A Scalable and Self-improving Data Generation Framework for Dexterous Manipulation

NovaFlow: Zero-Shot Manipulation via Actionable Flow from Generated Videos

TreeSynth: Synthesizing Diverse Data from Scratch via Tree-Guided Subspace Partitioning

PAN: A World Model for General, Interactable, and Long-Horizon World Simulation

One Small Step in Latent, One Giant Leap for Pixels: Fast Latent Upscale Adapter for Your Diffusion Models

YOLOv13: Real-Time Object Detection with Hypergraph-Enhanced Adaptive Visual Perception

MonkeyOCR: Document Parsing with a Structure-Recognition-Relation Triplet Paradigm

Consensus Sampling for Safer Generative AI

Argus: Resilience-Oriented Safety Assurance Framework for End-to-End ADSs

WMPO: World Model-based Policy Optimization for Vision-Language-Action Models

LoopTool: Closing the Data-Training Loop for Robust LLM Tool Calls

Beyond Fact Retrieval: Episodic Memory for RAG with Generative Semantic Workspaces

TiDAR: Think in Diffusion, Talk in Autoregression

Time-to-Move: Training-Free Motion Controlled Video Generation via Dual-Clock Denoising

Lumine: An Open Recipe for Building Generalist Agents in 3D Open Worlds

Generating an Image From 1,000 Words: Enhancing Text-to-Image With Structured Captions

KLASS: KL-Guided Fast Inference in Masked Diffusion Models

Grounding Computer Use Agents on Human Demonstrations

Wasm: A Pipeline for Constructing Structured Arabic Interleaved Multimodal Corpora

Adaptive Multi-Agent Response Refinement in Conversational Systems

SPAN: Spatial-Projection Alignment for Monocular 3D Object Detection

Efficient Approximation of Volterra Series for High-Dimensional Systems

SofT-GRPO: Surpassing Discrete-Token LLM Reinforcement Learning via Gumbel-Reparameterized Soft-Thinking Policy Optimization

RedOne 2.0: Rethinking Domain-specific LLM Post-Training in Social Networking Services

The Station: An Open-World Environment for AI-Driven Discovery

DRIVE: Data Curation Best Practices for Reinforcement Learning with Verifiable Reward in Competitive Code Generation

IterResearch: Rethinking Long-Horizon Agents via Markovian State Reconstruction

HaluMem: Evaluating Hallucinations in Memory Systems of Agents

GVPO: Group Variance Policy Optimization for Large Language Model Post-Training

ReCA: Integrated Acceleration for Real-Time and Efficient Cooperative Embodied Autonomous Agents

DexFlyWheel: A Scalable and Self-improving Data Generation Framework for Dexterous Manipulation

NovaFlow: Zero-Shot Manipulation via Actionable Flow from Generated Videos

TreeSynth: Synthesizing Diverse Data from Scratch via Tree-Guided Subspace Partitioning