Alexander Wettig

awettig@cs.princeton.edu
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I'm a 4th year PhD student in CS at Princeton University, advised by Danqi Chen, and affiliated with Princeton Language and Intelligence. Previously, I was an undergraduate at the University of Cambridge, where I was fortunate to work with Adrian Weller. During his PhD, he has spent time interning at Ai2.

Photo of Alexander Wettig

My research interests revolve around building and understanding large language models, with a particular focus on their training data (QuRating, WebOrganizer, ProLong, Masking Rates). I have also worked on understanding why LMs are easy to adapt (via Kernel Behavior) and how we can interpret their internal workings (Transformer Programs, Edge Pruning).

I am also part of the team that built SWE-bench and SWE-agent.

Publications

(* indicates equal contribution)