Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are commi…

[ICML 2026] What Does Vision Tool-Use Reinforcement Learning Really Learn? Disentangling Tool-Induced and Intrinsic Effects for Crop-and-Zoom

Code for paper OpenWebRL: Online Multi-Turn Reinforcement Learning for Visual Web Agents

InfoSFT is a modified supervised fine-tuning algorithm that generalizes better and forgets less.

CUA-Gym-Hub: mock web apps as reproducible RL training environments for computer-use agents

Scalable pipeline for synthesizing verifiable RLVR training data for computer-use agents

Symphony turns project work into isolated, autonomous implementation runs, allowing teams to manage work instead of supervising coding agents.

OpenSeeker: A search agent with open-source data and models

[NeurIPS 2025 Spotlight] OpenCUA: Open Foundations for Computer-Use Agents

Code for "WebVoyager: WebVoyager: Building an End-to-End Web Agent with Large Multimodal Models"

An Illusion of Progress? Assessing the Current State of Web Agents

Windows Agent Arena (WAA) 🪟 is a scalable OS platform for testing and benchmarking of multi-modal AI agents.

This is the official code base of AgentNetTool in OpenCUA. Website: https://opencua.xlang.ai/

SWE-bench: Can Language Models Resolve Real-world Github Issues?

[NeurIPS 2024] OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments

Implementation of paper: Scaling the Scaling Logic

The official repo for “Dolphin: Document Image Parsing via Heterogeneous Anchor Prompting”, ACL, 2025.

[ICLR 2026] Official code for TraceRL: Revolutionizing post-training for Diffusion LLMs, powering the SOTA TraDo series.

Easy and Efficient dLLM Fine-Tuning

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

MMaDA - Open-Sourced Multimodal Large Diffusion Language Models (dLLMs with block diffusion, mixed-CoT, unified RL)

Official implementation of "Fast-dLLM: Training-free Acceleration of Diffusion LLM by Enabling KV Cache and Parallel Decoding"

Official PyTorch implementation for "Large Language Diffusion Models"

Toolkit for linearizing PDFs for LLM datasets/training

GLM-OCR: Accurate × Fast × Comprehensive

Multimodal OCR: Parse Anything from Documents

DMax: Aggressive Parallel Decoding for dLLMs