I am a third-year undergraduate student at Ohio State University with a strong research focus on the safety and trustworthiness of AI and AI applications in security.
I currently have a research internship at Prof.Chaowei Xiao’s Lab at University of Wisconsin-Madison. In pursuit of academic excellence, I have served as a research assistant at OSU NLP Group and ICICLE Institute under the mentorship of Prof.Yu Su. This valuable experience has significantly contributed to my understanding of natural language processing and multi-modalities.
As I prepare to advance my academic career, I am seeking a Ph.D. opportunity in the fall of 2025. My multifaceted research background and hands-on experience in various research environments have equipped me with a robust skill set and a deep passion for advancing the frontiers of knowledge in the realm of computer science and artificial intelligence. I am enthusiastic about the prospect of contributing to cutting-edge research in my future academic endeavors.
My CV is here: Eddy’s Curriculum Vitae.
📰 News
- 2025.01.22🎉, Our paper Dynamic Guided and Domain Applicable Safeguards for Enhanced Security in Large Language Models has been accepted by NAACL’2025 (Findings)
- 2024.07.16🎉, Our paper Bringing Back the Context: Camera Trap Species Identification as Link Prediction on Multimodal Knowledge Graphs has been accepted by CIKM’2024 (Oral)
- 2024.07.09🎉, Our paper JailBreakV-28K: A Benchmark for Assessing the Robustness of MultiModal Large Language Models against Jailbreak Attacks has been accepted by COLM’2024 (Poster)
🎓 Education
- 2022.09 - 2025.06, B.A. in Computer and Information Science, Art and Science College, The Ohio State University (Dean List of Art and Science College in 22 Fall and 24 SP)
- 2020.09 - 2022.04, B.SC. in Information and Computing Science, School of Advanced Technology, Xi’an Jiaotong Liverpool University (First Class)
📝 Pre-print

Weidi Luo, Shenghong Dai, Xiaogeng Liu, Suman Banerjee, Huan Sun, Muhao Chen, Chaowei Xiao, AGrail: A Lifelong Agent Guardrail with Effective and Adaptive Safety Detection, [Paper] [Project Page] [Code]


📸 Publication


Weidi Luo*, Siyuan Ma*, Xiaogeng Liu*, Xiaoyu Guo, Chaowei Xiao, JailBreakV-28K: A Benchmark for Assessing the Robustness of MultiModal Large Language Models against Jailbreak Attacks, [Paper] [Project Page] [Code].

Vardaan Pahuja, Weidi Luo, Yu Gu, Cheng-Hao Tu, Hong-You Chen, Tanya Berger-Wolf, Charles Stewart, Song Gao, Wei-Lun Chao, Yu Su, Bringing Back the Context: Camera Trap Species Identification as Link Prediction on Multimodal Knowledge Graphs, [Paper] [Project Page] [Code].
🖼 Poster

Danying Xu; Weidi Luo; Yuxin Sun, Analysis and Prediction Models For NBA Games, [report].
🏅 Award

Weidi Luo, Bin Hu, Classification models for HEp-2 cell dataset
🏛️ Conference
- 2024.10, COLM’2024, Philadelphia, PA, United State
- 2025.04, NAACL’2025, Albuquerque, New Mexico, United State
🔍 Reviewer
- 2025.2, ACL’2025
💻 Internship
- 2023.12 - now, Chaowei Xiao’s Lab, Madison, Wisconsin, United States
- 2022.08 - 2023.12, ICICLE Institute|OSU NLP Group, Columbus, Ohio, United State
- 2021.12 - 2022.05, Computer Vision Lab at Xi’an Jiaotong Liverpool University , Suzhou, Jiangsu, China