Mengdi Wang
Mengdi Wang has 2 papers in our library, in 2023–2024, most of them on Bias, fairness & safety, Language models & pretraining; often with Kaixuan Huang, Peter Henderson, Prateek Mittal.
OpenAlex · ORCID · Wikidata · h-index 39 · 676 works · 6,675 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 232 times in our library · 3 more in our library without a page yet · ⭐ Paper Stars ranking: #5494
Affiliations
Fields, topics and concepts
📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 1 workSafety Research · 1 workSocial Sciences · 1 work
🧭 Topics 2Research subjects and languages the work is about.Bias, fairness & safety · 2 worksLanguage models & pretraining · 1 work
Works by year
2020s
Papers
- Visual Adversarial Examples Jailbreak Aligned Large Language Models (2023 · 240 citations)
Adding image inputs to large language models creates new security risks. The authors argue that images are continuous and high-dimensional, which makes them much easier to manipulate adversarially than discrete text. Because these models can do so many things, a successful attack can do more than cause a… - Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications (2024 · 66 citations)
Aligned LLMs can be jailbroken or lose their safeguards even after harmless fine-tuning. The authors ask whether this fragility can be traced to specific parts of the weights. Using the Llama2-chat family, they attribute behaviour to individual neurons and to low-rank components of weight matrices. They use two…
All works
- Visual Adversarial Examples Jailbreak Aligned Large Language ModelsProceedings of the AAAI Conference on Artificial IntelligenceXiangyu Qi, Kaixuan Huang, Ashwinee Panda, et al.2023 · 240 citations
- CRISPR-GPT for Agentic Automation of Gene-editing Experiments ↗arXiv:2404.18021 · no summary yetYuanhao Qu et al.2024 · 163 citations
- Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank ModificationsarXiv:2402.05162Boyi Wei, Kaixuan Huang, Yangsibo Huang, et al.2024 · 66 citations
- Fast Best-of-N Decoding via Speculative Rejection ↗arXiv:2410.20290 · no summary yetHanshi Sun et al.2024 · 50 citations
- AI Risk Management Should Incorporate Both Safety and Security ↗arXiv (Cornell University) · no summary yetXiangyu Qi et al.2024 · 3 citations
Co-authors here
- Kaixuan Huang ×2
- Peter Henderson ×2
- Prateek Mittal ×2
- Xiangyu Qi ×2
- Ashwinee Panda
- Boyi Wei
- Mengzhou Xia
- Tinghao Xie
- Yangsibo Huang
Venues
- Proceedings of the AAAI Conference on Artificial Intelligence: Proceedings of the AAAI Conference on Artificial Intelligence 2023
Cited by
Updated
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