Jason Zhang
Hi! I'm Jason, a student at Stanford and a student researcher at Lambda & Stanford's NLP Group. I also lead the Speaker Series for the Stanford AI Club!
Featured Projects
Uncovering Latent CoT Vectors in Language Models [ICLR-W 2025]
Applied Steering Vectors towards Chain of Thought Thinking. Show that steered systems can be steered towards CoT structure while maintaining competitive performance on reasoning benchmarks. Read here!
Improving Controllability of Text-to-Video Generation Through Image Editing and Interpolation (Class Project)
Built a modular text-to-video editing pipeline for Stanford's CS131 Class using iterative keyframe editing and frame interpolation. Achieved near SoTA on VBench against models like Luma and Sora while also enabling intuitive editing. Check it out here!
The Structural Safety Generalization Problem [ACL Findings 2025]
Introduce new subclass of AI Safety problems - failure of current safety techniques to generalize over structure, despite semantic equivalence. Read here.
Empirical Insights into Feature Geometry in Sparse Autoencoders (LessWrong)
Interpretability Research with Sparse Autoencoders (SAEs) conducted under Zhengxuan Wu in Chris Pott's Lab. present the first demonstration of the lack of geometric relationships between semantically related concepts in the Feature Space of SAEs. Read here.