- ContextCite: Attributing Model Generation to Context (NeurIPS 2024)
- Ask Your Distribution Shift if Pre-Training is Right for You (TMLR 2025)
- Learning to Attribute with Attention (Preprint)
Blog posts and software projects:
- Using ContextCite for LLM reliability
- ContextCite: Attributing Model Generation to Context
- How Can We Harness Pre-Training to Develop Robust Models?
- Ask Your Distribution Shift if Pre-Training is Right for You
- Attribution with Attention (AT2): Efficiently attribute generated content to in-context information
- Software tools include GitHub repository, Hugging Face demo, and PyPI package.
Research Experience
Worked at Robust Intelligence for two years before starting his PhD at MIT.
Education
BS in Computer Science from Stanford University; PhD in EECS at MIT, advisor Aleksander Mądry.
Background
Research Interests: Developing AI systems that can be safely deployed. Background: Currently a PhD student in EECS at MIT, advised by Aleksander Mądry.
Miscellany
Personal interests: Running, climbing, skiing, tennis, and volleyball.