---
title: README
emoji: 📚
colorFrom: gray
colorTo: blue
sdk: static
pinned: false
---

<div align="center">

<h1>AIOR</h1>

<p><strong>Artificial Intelligence × Operations Research</strong></p>

<p>Open research artifacts for learning, optimization, and decision-making.</p>

<p>
  <a href="https://huggingface.co/AIOR-Research/models">Models</a> ·
  <a href="https://huggingface.co/AIOR-Research/datasets">Datasets</a> ·
  <a href="https://huggingface.co/AIOR-Research/collections">Collections</a> ·
  <a href="https://github.com/AIOR-Research">GitHub</a> ·
  <a href="https://iic.sjtu.edu.cn/">Initiating Institute</a>
</p>

</div>

AIOR is a cross-institutional academic research organization initiated by the [Institute of Intelligent Computing (IIC), Shanghai Jiao Tong University](https://iic.sjtu.edu.cn/), with participants from universities and research institutions in China and abroad.

## On the Hub

This organization is the Hugging Face home for AIOR's public research artifacts as they are released:

- models and checkpoints;
- datasets and benchmarks;
- curated research collections;
- evaluation resources and research demos.

Artifacts are documented with clear provenance, licensing, intended use, and evaluation details whenever applicable.

## Research focus

We work on foundation models and agents for optimization, learning-augmented decision-making, large-scale and high-performance optimization, and reproducible evaluation at the AI–OR interface.