Hamid Dadkhahi

Researcher, Google

Joined

July 2019

Names

Hamid Dadkhahi

Emails

****@gmail.com (Confirmed)

****@google.com (Confirmed)

Personal Links

Google Scholar

DBLP

Career & Education History

Researcher

Google (google.com)

2022 – Present

Applied Scientist

Amazon (amazon.com)

2020 – 2022

Researcher

International Business Machines (ibm.com)

2019 – 2020

Advisors, Relations & Conflicts

No relations added

Expertise

Black-Box Optimization

Present

Large Language Models

Present

Publications

Distribution-Calibrated Inference Time Compute for Thinking LLM-as-a-Judge
Hamid Dadkhahi, Firas Trabelsi, Parker Riley, Juraj Juraska, Mehdi Mirzazadeh
- ICLR 2026 Conference Desk Rejected Submission
- Readers: Everyone
Don't Throw Away Data: Improving Sequence Knowledge Distillation with Minimum Bayes Risk Decoding
Jun Wang, Eleftheria Briakou, Hamid Dadkhahi, Rishabh Agarwal, Colin Cherry, Trevor Cohn
- SSI-FM Poster
- Readers: Everyone
Learning from others' mistakes: Finetuning machine translation models with span-level error annotations
Lily H Zhang, Hamid Dadkhahi, Mara Finkelstein, Firas Trabelsi, Jiaming Luo, Markus Freitag
- ICML 2025 poster
- Readers: Everyone
Learning from others' mistakes: Finetuning machine translation models with span-level error annotations
Lily H Zhang, Hamid Dadkhahi, Mara Finkelstein, Firas Trabelsi, Jiaming Luo, Markus Freitag
- Submitted to ICLR 2025
- Readers: Everyone
Don’t Throw Away Data: Better Sequence Knowledge Distillation
Jun Wang, Eleftheria Briakou, Hamid Dadkhahi, Rishabh Agarwal, Colin Cherry, Trevor Cohn
- Submitted to ICLR 2025
- 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
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
- Published: 01 Jan 2023, Last Modified: 23 Mar 2024
- NeurIPS 2023
- Readers: Everyone
Fourier Representations for Black-Box Optimization over Categorical Variables
Hamid Dadkhahi, Jesus Rios, Karthikeyan Shanmugam, Payel Das
- 2022 (modified: 31 Dec 2022)
- AAAI 2022
- Readers: Everyone
Fourier Representations for Black-Box Optimization over Categorical Variables
Hamid Dadkhahi, Jesus Rios, Karthikeyan Shanmugam, Payel Das
- 28 Sept 2020 (modified: 12 Oct 2025)
- ICLR 2021 Conference Blind Submission
- Readers: Everyone
Combinatorial Black-Box Optimization with Expert Advice
Hamid Dadkhahi, Karthikeyan Shanmugam, Jesus Rios, Payel Das, Samuel C. Hoffman, Troy David Loeffler, Subramanian Sankaranarayanan
- 2020 (modified: 31 Dec 2022)
- KDD 2020
- Readers: Everyone

View all 11 publications

Co-Authors

View all 28 co-authors