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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="">
<img src="https://img.shields.io/badge/ArXiv-WeMask-brown?logo=arxiv" alt="Paper">
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<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>
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## Start
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.
## Citation
If you think our research is helpful, please cite with
```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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