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.
Research Areas
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
April 30, 2020
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