MinerU-HTML: An SLM-powered HTML main content extractor that outputs clean HTML bodies. Perfect for Deep Research Agents, RAG applications, and training data generation.

The web data API to search, scrape, and interact at scale. 🔥

[ACL 2025 Best Theme Paper] This is the official implementation for the paper: "Meta-rater: A Multi-dimensional Data Selection Method for Pre-training Language Models"

This is the repo for the paper Multi-Agent Collaborative Data Selection for Efficient LLM Pretraining.

A Comprehensive Toolkit for High-Quality PDF Content Extraction

Transforms complex documents like PDFs and Office docs into LLM-ready markdown/JSON for your Agentic workflows.

Paper list of multi-agent reinforcement learning (MARL)

A timeline showing the development of Generative Adversarial Networks (GAN).