Jacob Kahn

RESEARCH SCIENTIST | MENLO PARK, UNITED STATES

Jacob is a Research Engineer at Facebook AI Research (FAIR), focusing on speech and language. He works on speech recognition methods, parallel and distributed architectures and optimization for deep learning. Jacob holds M.S. and B.S. degrees in computer science from the University of Pennsylvania’s Management & Technology program, and a B.S. in economics from UPenn's Wharton School, where he focused on statistics and operations research.

Jacob's Publications

September 24, 2025

RESEARCH

NLP

CWM: An Open-Weights LLM for Research on Code Generation with World Models

Jade Copet, Quentin Carbonneaux, Gal Cohen, Jonas Gehring, Jacob Kahn, Jannik Kossen, Felix Kreuk, Emily McMilin, Michel Meyer, Yuxiang Wei, David Zhang, Kunhao Zheng, Jordi Armengol Estape, Pedram Bashiri, Maximilian Beck, Pierre Chambon, Abhishek Charnalia, Chris Cummins, Juliette Decugis, Zacharias Fisches, François Fleuret, Fabian Gloeckle, Alex Gu, Michael Hassid, Daniel Haziza, Badr Youbi Idrissi, Christian Keller, Rahul Kindi, Hugh Leather, Gallil Maimon, Aram Markosyan, Francisco Massa, Pierre-Emmanuel Mazaré, Vegard Mella, Naila Murray, Keyur Muzumdar, Peter O'Hearn, Matteo Pagliardini, Dmitrii Pedchenko, Tal Remez, Volker Seeker, Marco Selvi, Oren Sultan, Sida Wang, Luca Wehrstedt, Ori Yoran, Lingming Zhang, Taco Cohen, Yossi Adi, Gabriel Synnaeve

September 24, 2025

September 24, 2025

RESEARCH

NLP

Code World Model Preparedness Report

Daniel Song, Peter Ney, Cristina Menghini, Faizan Ahmad, Aidan Boyd, Nathaniel Li, Ziwen Han, Jean-Christophe Testud, Saisuke Okabayashi, Maeve Ryan, Jinpeng Miao, Hamza Kwisaba, Felix Binder, Spencer Whitman, Jim Gust, Esteban Arcaute, Dhaval Kapil, Jacob Kahn, Ayaz Minhas, Tristan Goodman, Lauren Deason, Alexander Vaughan, Shengjia Zhao, Summer Yue

September 24, 2025

December 11, 2024

NLP

COMPUTER VISION

Meta CLIP 1.2

Hu Xu, Bernie Huang, Ellen Tan, Ching-Feng Yeh, Jacob Kahn, Christine Jou, Gargi Ghosh, Omer Levy, Luke Zettlemoyer, Scott Yih, Philippe Brunet, Kim Hazelwood, Ramya Raghavendra, Daniel Li (FAIR), Saining Xie, Christoph Feichtenhofer

December 11, 2024

September 05, 2024

CONVERSATIONAL AI

NLP

Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model

Chunting Zhou, Lili Yu, Arun Babu, Kushal Tirumala, Michihiro Yasunaga, Leonid Shamis, Jacob Kahn, Luke Zettlemoyer, Omer Levy, Xuezhe Ma

September 05, 2024

November 07, 2023

NLP

COMPUTER VISION

The Framework Tax: Disparities Between Inference Efficiency in NLP Research and Deployment

Jared Fernandez, Jacob Kahn, Clara Na, Yonatan Bisk, Emma Strubell

November 07, 2023

June 19, 2023

SYSTEMS RESEARCH

MODeL: Memory Optimizations for Deep Learning

Benoit Steiner, Mostafa Elhoushi, Jacob Kahn, James Hegarty

June 19, 2023

June 20, 2022

Flashlight: Enabling Innovation in Tools for Machine Learning

Jacob Kahn, Ann Lee, Benoit Steiner, Edouard Grave, Gabriel Synnaeve, Gilad Avidov, Paden Tomasello, Qiantong Xu, Ronan Collobert, Vineel Pratap, Vitaliy Liptchinksy, Awni Hannun, Jeff Cai, Tatiana Likhomanenko

June 20, 2022

April 30, 2020

RESEARCH

NLP

Self-Training for End-to-End Speech Recognition

Jacob Kahn, Ann Lee, Awni Hannun

April 30, 2020