CiteVQA: Benchmarking Evidence Attribution for Trustworthy Document Intelligence

MMSkills: Towards Multimodal Skills for General Visual Agents

PhysBrain 1.0 Technical Report

Bringing Value Models Back: Generative Critics for Value Modeling in LLM Reinforcement Learning

NEXUS: An Agentic Framework for Time Series Forecasting

MemEye: A Visual-Centric Evaluation Framework for Multimodal Agent Memory

SANA-WM: Efficient Minute-Scale World Modeling with Hybrid Linear Diffusion Transformer

MemLens: Benchmarking Multimodal Long-Term Memory in Large Vision-Language Models

Self-Distilled Agentic Reinforcement Learning

Causal Forcing++: Scalable Few-Step Autoregressive Diffusion Distillation for Real-Time Interactive Video Generation

Achieving Gold-Medal-Level Olympiad Reasoning via Simple and Unified Scaling

RepoZero: Can LLMs Generate a Code Repository from Scratch?

Qwen-Image-VAE-2.0 Technical Report

Predicting Decisions of AI Agents from Limited Interaction through Text-Tabular Modeling

Training Long-Context Vision-Language Models Effectively with Generalization Beyond 128K Context

AnyFlow: Any-Step Video Diffusion Model with On-Policy Flow Map Distillation

MinT: Managed Infrastructure for Training and Serving Millions of LLMs

MulTaBench: Benchmarking Multimodal Tabular Learning with Text and Image

Geometric Context Transformer for Streaming 3D Reconstruction

Nemotron-Cascade 2: Post-Training LLMs with Cascade RL and Multi-Domain On-Policy Distillation

MOSS-TTS Technical Report

StreakMind: AI detection and analysis of satellite streaks in astronomical images with automated database integration

VibeServe: Can AI Agents Build Bespoke LLM Serving Systems?

delta-mem: Efficient Online Memory for Large Language Models

MCP-Cosmos: World Model-Augmented Agents for Complex Task Execution in MCP Environments

Beyond Reasoning: Reinforcement Learning Unlocks Parametric Knowledge in LLMs

Debiased Model-based Representations for Sample-efficient Continuous Control

Multi-Stream LLMs: Unblocking Language Models with Parallel Streams of Thoughts, Inputs and Outputs

Your Language Model is Its Own Critic: Reinforcement Learning with Value Estimation from Actor's Internal States

Relit-LiVE: Relight Video by Jointly Learning Environment Video

CiteVQA: Benchmarking Evidence Attribution for Trustworthy Document Intelligence

MMSkills: Towards Multimodal Skills for General Visual Agents

PhysBrain 1.0 Technical Report

Bringing Value Models Back: Generative Critics for Value Modeling in LLM Reinforcement Learning

NEXUS: An Agentic Framework for Time Series Forecasting

MemEye: A Visual-Centric Evaluation Framework for Multimodal Agent Memory

SANA-WM: Efficient Minute-Scale World Modeling with Hybrid Linear Diffusion Transformer

MemLens: Benchmarking Multimodal Long-Term Memory in Large Vision-Language Models

Self-Distilled Agentic Reinforcement Learning

Causal Forcing++: Scalable Few-Step Autoregressive Diffusion Distillation for Real-Time Interactive Video Generation

Achieving Gold-Medal-Level Olympiad Reasoning via Simple and Unified Scaling

RepoZero: Can LLMs Generate a Code Repository from Scratch?

Qwen-Image-VAE-2.0 Technical Report

Predicting Decisions of AI Agents from Limited Interaction through Text-Tabular Modeling

Training Long-Context Vision-Language Models Effectively with Generalization Beyond 128K Context

AnyFlow: Any-Step Video Diffusion Model with On-Policy Flow Map Distillation

MinT: Managed Infrastructure for Training and Serving Millions of LLMs

MulTaBench: Benchmarking Multimodal Tabular Learning with Text and Image

Geometric Context Transformer for Streaming 3D Reconstruction

Nemotron-Cascade 2: Post-Training LLMs with Cascade RL and Multi-Domain On-Policy Distillation

MOSS-TTS Technical Report

StreakMind: AI detection and analysis of satellite streaks in astronomical images with automated database integration

VibeServe: Can AI Agents Build Bespoke LLM Serving Systems?

delta-mem: Efficient Online Memory for Large Language Models

MCP-Cosmos: World Model-Augmented Agents for Complex Task Execution in MCP Environments

Beyond Reasoning: Reinforcement Learning Unlocks Parametric Knowledge in LLMs

Debiased Model-based Representations for Sample-efficient Continuous Control

Multi-Stream LLMs: Unblocking Language Models with Parallel Streams of Thoughts, Inputs and Outputs

Your Language Model is Its Own Critic: Reinforcement Learning with Value Estimation from Actor's Internal States

Relit-LiVE: Relight Video by Jointly Learning Environment Video