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| <h1 style="font-size: 32px; font-weight: bold;"> A Single Layer to Explain Them All: Understanding Massive Values in Large Language Models </h1> |
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| <a href="https://arxiv.org/pdf/2605.08504"> |
| <img src="https://img.shields.io/badge/ArXiv-WeMask-brown?logo=arxiv" alt="Paper"> |
| </a> |
| <a href="https://huggingface.co/DarkBluee/WeMask"> |
| <img src="https://img.shields.io/badge/🤗 huggingface-Model-purple" alt="checkpoint"> |
| </a> |
| <a href="https://vanpe20.github.io/ME-Layer.github.io/"> |
| <img src="https://img.shields.io/badge/-HomePage-black?logo=github" alt="checkpoint"> |
| </a> |
| </div> |
| </div> |
| |
| ## Start |
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| This page is the model of WeMask, the github link is [ME-Layer](https://github.com/vanpe20/ME_Layer). We use [Qwen-3-VL-4B](https://huggingface.co/Qwen/Qwen3-4B) as our foundation model for SFT and RL training. You can follow the guideline in this repo to start testing and training. |
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| ## Citation |
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| If you think our research is helpful, please cite with |
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| ```bibtex |
| @article{me_layer_2026, |
| title={A Single Layer to Explain Them All: Understanding Massive Values in Large Language Models}, |
| author={Your Name and Co-authors}, |
| journal={Proceedings of the 43rd International Conference on Machine Learning (ICML)}, |
| year={2026} |
| } |
| ``` |
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