| library_name: transformers | |
| pipeline_tag: image-text-to-text | |
| # SPLASH-3B: Wake up for Touch! Mask-isolated Tactile Alignment Learning in MLLMs | |
| **SPLASH-3B** is a tactile-aligned Multimodal Large Language Model (MLLM) based on the Qwen2.5-VL-3B-Instruct backbone. It integrates tactile perception into vision-language models using mask-isolated tactile alignment learning, allowing tactile reasoning while preserving general visual-language capabilities. | |
| - **Paper:** [Wake up for Touch! Mask-isolated Tactile Alignment Learning in MLLMs](https://huggingface.co/papers/2607.00302) | |
| - **Repository:** [ewha-mmai/splash](https://github.com/ewha-mmai/splash) | |
| - **Project Page:** [SPLASH Project Page](https://ewha-mmai.github.io/splash/) | |
| ## Citation | |
| If you find SPLASH useful, please consider citing the paper: | |
| ```bibtex | |
| @inproceedings{park2026splash, | |
| title={Wake up for Touch! Mask-isolated Tactile Alignment Learning in MLLMs}, | |
| author={Yoonhyung Park and Minji Kim and Sungwon Moon and Jiyoung Lee}, | |
| booktitle={European Conference on Computer Vision (ECCV)}, | |
| year={2026} | |
| } | |
| ``` |