| --- |
| license: apache-2.0 |
| task_categories: |
| - image-text-to-text |
| tags: |
| - visual-reasoning |
| - reinforcement-learning |
| - multi-source |
| - rlvr |
| --- |
| |
| # MARS: Mono-Anchored Multi-Source Visual Reasoning |
|
|
| This repository contains the dataset for the paper "[Does Seeing More Mean Knowing More? Mono-Anchored Advantage Normalization for Multi-Source Visual Reasoning](https://huggingface.co/papers/2605.25437)". |
|
|
| - **GitHub Repository:** [https://github.com/AI9Stars/MARS](https://github.com/AI9Stars/MARS) |
| - **Paper:** [https://arxiv.org/abs/2605.25437](https://arxiv.org/abs/2605.25437) |
|
|
| ## Introduction |
| MARS is a novel mono-anchored multi-source reasoning framework designed for Reinforcement Learning with Verifiable Rewards (RLVR). It treats each visual modality as an independent information source and uses mono-source rewards as dynamic anchors to explicitly incorporate information gain from multi-source fusion while suppressing potential noise or conflicts. |
|
|
| ## Dataset Summary |
| The dataset provides reinforcement fine-tuning (RL) data for several multi-source visual reasoning domains: |
|
|
| | Domain | Task Type | |
| | :--- | :--- | |
| | **Infrared** | Grounding tasks (RGB & IR) | |
| | **Depth** | Spatial reasoning using depth information | |
| | **Multi-view** | Reasoning across multiple perspectives | |
| | **Text-rich** | Visual reasoning in document-intensive environments | |
|
|
| For instructions on how to download the original images and prepare the data for training using the MARS framework, please refer to the [official GitHub repository](https://github.com/AI9Stars/MARS). |
|
|
| ## Citation |
| If you find this work useful, please cite our paper: |
|
|
| ```bibtex |
| @article{zeng2026does, |
| title={Does Seeing More Mean Knowing More? Mono-Anchored Advantage Normalization for Multi-Source Visual Reasoning}, |
| author={Zeng, Fanhu and Luo, Zhicong and Wang, Zefan and Li, You and Chen, Chi and Sun, Maosong}, |
| journal={arXiv preprint arXiv:2605.25437}, |
| year={2026} |
| } |
| ``` |
