Previously, I was a PYI at AI2. I got my MS in computer science from Northeastern University, and interned at AWS AI Labs and SIFT. I also hold a BA in cultural anthropology from Bard College.
Selected Publications
The COUNT: Counting N-grams Unlocks Scaling on Host Memory and Training-Free Adaptation
Ian Magnusson, Noah A. Smith, Pang Wei Koh
arXiv preprint, 2026 // [paper] [code] [models & data]
DataDecide: How to Predict Best Pretraining Data with Small Experiments
Ian Magnusson, Nguyen Tai, Ben Bogin, David Heineman, Jena D. Hwang, Luca Soldaini, Akshita Bhagia, Jiacheng Liu, Dirk Groeneveld, Oyvind Tafjord, Noah A. Smith, Pang Wei Koh, Jesse Dodge
ICML 2025 // [paper] [data] [evals] [code] [models] [press]
Paloma: A Benchmark for Evaluating Language Model Fit
Ian Magnusson, Akshita Bhagia, Valentin Hofmann, Luca Soldaini, Ananya Harsh Jha, Oyvind Tafjord, Dustin Schwenk, Evan Pete Walsh, Yanai Elazar, Kyle Lo, Dirk Groeneveld, Iz Beltagy, Hannaneh Hajishirzi, Noah A. Smith, Kyle Richardson, Jesse Dodge
NeurIPS 2024 // [paper] [data] [code] [models]
OLMo: Accelerating the Science of Language Models
Dirk Groeneveld, Iz Beltagy, Pete Walsh, Akshita Bhagia, Rodney Kinney, Oyvind Tafjord, Ananya Harsh Jha, Hamish Ivison, Ian Magnusson, Yizhong Wang, Shane Arora, David Atkinson, Russell Authur, Khyathi Raghavi Chandu, Arman Cohan, Jennifer Dumas, Yanai Elazar, Yuling Gu, Jack Hessel, Tushar Khot, William Merrill, Jacob Morrison, Niklas Muennighoff, Aakanksha Naik, Crystal Nam, et al.
ACL 2024 // [paper] [model] [code] [blog] [press]