Behrooz Ghorbani

Joined

March 2019

Names

Behrooz Ghorbani (Preferred)

Emails

****@stanford.edu (Confirmed)

****@google.com (Confirmed)

****@alumni.stanford.edu (Confirmed)

Personal Links

Google Scholar

DBLP

Career & Education History

Researcher

OpenAI (openai.com)

2023 – 2025

Researcher

Google (google.com)

2020 – 2023

PhD student

Stanford University (stanford.edu)

2014 – 2020

Advisors, Relations & Conflicts

No relations added

Expertise

Large Language Models

Present

Reinforcement learning for reasoning

Present

Synthetic Data

Present

Science of Deep Learning

Present

Publications

Adaptive Gradient Methods at the Edge of Stability
Jeremy Cohen, Behrooz Ghorbani, Shankar Krishnan, Naman Agarwal, Sourabh Medapati, Michal Badura, Daniel Suo, Zachary Nado, George E. Dahl, Justin Gilmer
- HeavyTails 2023
- Readers: Everyone
Epsilon Sampling Rocks: Investigating Sampling Strategies for Minimum Bayes Risk Decoding for Machine Translation
Markus Freitag, Behrooz Ghorbani, Patrick Fernandes
- EMNLP 2023 Findings
- Readers: Everyone
Binarized Neural Machine Translation
Yichi Zhang, Ankush Garg, Yuan Cao, Lukasz Lew, Behrooz Ghorbani, Zhiru Zhang, Orhan Firat
- NeurIPS 2023 poster
- Readers: Everyone
Order Matters in the Presence of Dataset Imbalance for Multilingual Learning
Dami Choi, Derrick Xin, Hamid Dadkhahi, Justin Gilmer, Ankush Garg, Orhan Firat, Chih-Kuan Yeh, Andrew M. Dai, Behrooz Ghorbani
- NeurIPS 2023 poster
- Readers: Everyone
Scaling Laws for Multilingual Neural Machine Translation
Patrick Fernandes, Behrooz Ghorbani, Xavier Garcia, Markus Freitag, Orhan Firat
- ICML 2023 Poster
- Readers: Everyone
Understanding Multi-Task Scaling in Machine Translation
Patrick Fernandes, Behrooz Ghorbani, Xavier Garcia, Markus Freitag, Orhan Firat
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
Do Current Multi-Task Optimization Methods in Deep Learning Even Help?
Derrick Xin, Behrooz Ghorbani, Justin Gilmer, Ankush Garg, Orhan Firat
- Published: 31 Oct 2022, Last Modified: 12 Oct 2022
- NeurIPS 2022 Accept
- Readers: Everyone
A Loss Curvature Perspective on Training Instabilities of Deep Learning Models
Justin Gilmer, Behrooz Ghorbani, Ankush Garg, Sneha Kudugunta, Behnam Neyshabur, David Cardoze, George Edward Dahl, Zachary Nado, Orhan Firat
- Published: 28 Jan 2022, Last Modified: 12 Oct 2025
- ICLR 2022 Poster
- Readers: Everyone
Scaling Laws for Neural Machine Translation
Behrooz Ghorbani, Orhan Firat, Markus Freitag, Ankur Bapna, Maxim Krikun, Xavier Garcia, Ciprian Chelba, Colin Cherry
- Published: 28 Jan 2022, Last Modified: 13 Feb 2023
- ICLR 2022 Spotlight
- Readers: Everyone
Examining Scaling and Transfer of Language Model Architectures for Machine Translation
Biao Zhang, Behrooz Ghorbani, Ankur Bapna, Yong Cheng, Xavier Garcia, Jonathan Shen, Orhan Firat
- Published: 28 Jan 2022, Last Modified: 13 Feb 2023
- ICLR 2022 Submitted
- Readers: Everyone

View all 17 publications

Co-Authors

View all 41 co-authors