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| title: README | |
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| # XL-Stack Lab | |
| *One stack, from integrated sensing and communication up to foundation models for Physical AI.* | |
| XL-Stack Lab is a research group in the Department of Computer Science at Florida State | |
| University, led by Prof. Xin Liu. We build full-stack systems that run from integrated sensing and | |
| communication and NextG wireless networks, through edge intelligence, up to foundation models for | |
| Physical AI. | |
| ## Research areas | |
| - Integrated sensing and communication (Wi-Fi, mmWave, NextG systems) | |
| - Physical AI for human motion and health | |
| - Security and privacy of wireless, sensing and AI systems, including the safety of language models | |
| ## Datasets | |
| ### GUISE (gated) | |
| A cross-language benchmark of matched bare and narrative-wrapped harmful requests, in English, | |
| modern Chinese and Classical Chinese, from the paper | |
| [How Narrative Wrapping Affects LLM Refusal: A Cross-Language Benchmark and Defense](https://arxiv.org/abs/2610.11005). | |
| - Dataset: [xl-stack-lab/GUISE](https://huggingface.co/datasets/xl-stack-lab/GUISE) | |
| - Project page: <https://jye16.github.io/guise/> | |
| - Code (AXIS defense and evaluation): <https://github.com/JYe16/GUISE_Official> | |
| The dataset contains harmful requests and attack prompts, so access is gated. Requests are | |
| reviewed by hand and granted to individual researchers for language-model safety research. Fill in | |
| the form on the dataset page; reviews usually take a few days. | |
| ## Citation | |
| If you use our datasets, please cite the paper listed on the dataset page. | |