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

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

September 24, 2025

September 24, 2025

RESEARCH

NLP

Code World Model Preparedness Report

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

September 24, 2025

December 11, 2024

NLP

COMPUTER VISION

Meta CLIP 1.2

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

December 11, 2024

September 05, 2024

CONVERSATIONAL AI

NLP

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

Chunting Zhou, Arun Babu, Jacob Kahn, Kushal Tirumala, Leonid Shamis, Lili Yu, Luke Zettlemoyer, Michihiro Yasunaga, 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, Clara Na, Yonatan Bisk, Emma Strubell, Jacob Kahn

November 07, 2023

June 19, 2023

SYSTEMS RESEARCH

MODeL: Memory Optimizations for Deep Learning

Benoit Steiner, Jacob Kahn, James Hegarty, Mostafa Elhoushi

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