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Kevin Farhat

I'm a research engineer at Ai2 on the OLMo team working on language models,
distributed training, and privacy-preserving AI.

What I'm Working On

I helped develop FlexOLMo, and now apply it in federated learning setups to train on privacy-sensitive cancer data across institutions as part of the Cancer AI Alliance (CAIA).

Previously, I worked at TrueMedia with Oren Etzioni, developing deepfake detection systems to safeguard the 2024 U.S. election.

I earned my BS/MS in Computer Science at the University of Washington, where I worked with Akari Asai in the H2Lab under Hannaneh Hajishirzi.

Current focus: Distributed LLM architectures Privacy-preserving training Cancer + health AI

Publications

FlexOLMo: Open Language Models for Flexible Data Use

NeurIPS, 2025 Spotlight

Weijia Shi, Akshita Bhagia, Kevin Farhat, Niklas Muennighoff, Pete Walsh, Jacob Morrison, Dustin Schwenk, Shayne Longpre, Jake Poznanski, Allyson Ettinger, Daogao Liu, Margaret Li, Dirk Groeneveld, Mike Lewis, Wen-tau Yih, Luca Soldaini, Kyle Lo, Noah A. Smith, Luke Zettlemoyer, Pang Wei Koh, Hannaneh Hajishirzi, Ali Farhadi, Sewon Min

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The Tug-of-War Between Deepfake Generation and Detection

ICML, 2024

Hannah Lee, Changyeon Lee, Kevin Farhat, Lin Qiu, Steve Geluso, Aerin Kim, Oren Etzioni

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Deepfake-Eval-2024: A Multi-Modal In-the-Wild Benchmark of Deepfakes Circulated in 2024

ArXiv Preprint, 2025

Nuria Alina Chandra, Ryan Murtfeldt, Lin Qiu, Arnab Karmakar, Hannah Lee, Emmanuel Tanumihardja, Kevin Farhat, Ben Caffee, Sejin Paik, Changyeon Lee, Jongwook Choi, Aerin Kim, Oren Etzioni

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Other

Outside of work, I enjoy playing and watching soccer, traveling, and carrot cake carrot cake.