Kevin Farhat

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

What I Work On

Language Models

Developing novel architectures for modular training with privacy preservation.

Privacy-Preserving AI

Leading federated learning implementations enabling secure, multi-institutional collaboration for cancer research.

Deepfake Detection

Worked on deepfake detectors, focusing on context-aware methods and the evolving dynamics between generation and detection.

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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