| --- |
| license: mit |
| tags: |
| - Multimodal Large Language Model (MLLM) |
| - Visual Grounding |
| - Reinforcement Fine-tuning |
| --- |
| |
| # UniVG-R1 Model Card |
| <a href='https://amap-ml.github.io/UniVG-R1-page/'><img src='https://img.shields.io/badge/Project-Page-Green'></a> |
| <a href='https://arxiv.org/abs/2505.14231'><img src='https://img.shields.io/badge/Paper-Arxiv-red'></a> |
| <a href='https://github.com/AMAP-ML/UniVG-R1'><img src='https://img.shields.io/badge/Code-GitHub-blue'></a> |
|
|
| ## Model details |
| We propose UniVG-R1, a reasoning-guided MLLM for universal visual grounding, which leverages reinforcement learning to enhance reasoning across complex multi-image and multi-modal scenarios. |
