Hootan Nakhost

Joined

July 2019

Names

Hootan Nakhost

Emails

****@gmail.com (Confirmed)

,

****@google.com (Confirmed)

Personal Links

Career & Education History

Researcher

Google (google.com)

2013 – 2025

PhD student

University of Alberta (ualberta.ca)

2007 – 2013

Advisors, Relations & Conflicts

PhD Advisor

2007 – 2013

Expertise

Natural Language Processing

2019 – 2025

Reinforcement Learning

2020 – 2023

Automated Planning

2007 – 2013

Publications

Teach Better or Show Smarter? On Instructions and Exemplars in Automatic Prompt Optimization
Xingchen Wan, Ruoxi Sun, Hootan Nakhost, Sercan O Arik
- NeurIPS 2024 poster
- Readers: Everyone
SQL-PaLM: Improved large language model adaptation for Text-to-SQL
Ruoxi Sun, Sercan O Arik, Alexandre Muzio, Lesly Miculicich, Satya Kesav Gundabathula, Pengcheng Yin, Hanjun Dai, Hootan Nakhost, Rajarishi Sinha, Zifeng Wang, Tomas Pfister
- Accepted by TMLR
- Readers: Everyone
TextGenSHAP: Scalable Post-hoc Explanations in Text Generation with Long Documents
James Enouen, Hootan Nakhost, Sayna Ebrahimi, Sercan O Arik, Yan Liu, Tomas Pfister
- Submitted to ICLR 2024
- Readers: Everyone
Universal Self-Adaptive Prompting
Xingchen Wan, Ruoxi Sun, Hootan Nakhost, Hanjun Dai, Julian Martin Eisenschlos, Sercan O Arik, Tomas Pfister
- EMNLP 2023 Main
- Readers: Everyone
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes
Cheng-Yu Hsieh, Chun-Liang Li, Chih-Kuan Yeh, Hootan Nakhost, Yasuhisa Fujii, Alexander Ratner, Ranjay Krishna, Chen-Yu Lee, Tomas Pfister
- Published: 01 Jan 2023, Last Modified: 15 May 2023
- CoRR 2023
- Readers: Everyone
Controlling Commercial Cooling Systems Using Reinforcement Learning
Jerry Luo, Cosmin Paduraru, Octavian Voicu, Yuri Chervonyi, Scott Munns, Jerry Li, Crystal Qian, Praneet Dutta, Jared Quincy Davis, Ningjia Wu, Xingwei Yang, Chu-Ming Chang, Ted Li, Rob Rose, Mingyan Fan, Hootan Nakhost, Tinglin Liu, Brian Kirkman, Frank Altamura, Lee Cline et al. (15 additional authors not shown)
- Published: 01 Jan 2022, Last Modified: 15 May 2023
- CoRR 2022
- Readers: Everyone
Learning and Evaluating a Differentially Private Pre-trained Language Model
Shlomo Hoory, Amir Feder, Avichai Tendler, Sofia Erell, Alon Peled-Cohen, Itay Laish, Hootan Nakhost, Uri Stemmer, Ayelet Benjamini, Avinatan Hassidim, Yossi Matias
- 2021 (modified: 27 Feb 2022)
- EMNLP (Findings) 2021
- Readers: Everyone
Interpretable Sequence Learning for COVID-19 Forecasting
Sercan Ömer Arik, Chun-Liang Li, Jinsung Yoon, Rajarishi Sinha, Arkady Epshteyn, Long T. Le, Vikas Menon, Shashank Singh, Leyou Zhang, Nate Yoder, Martin Nikoltchev, Yash Sonthalia, Hootan Nakhost, Elli Kanal, Tomas Pfister
- 2020 (modified: 08 Jan 2026)
- CoRR 2020
- Readers: Everyone
Interpretable Sequence Learning for Covid-19 Forecasting
Sercan Ömer Arik, Chun-Liang Li, Jinsung Yoon, Rajarishi Sinha, Arkady Epshteyn, Long T. Le, Vikas Menon, Shashank Singh, Leyou Zhang, Martin Nikoltchev, Yash Sonthalia, Hootan Nakhost, Elli Kanal, Tomas Pfister
- 2020 (modified: 08 Jan 2026)
- NeurIPS 2020
- Readers: Everyone
Towards a theory of random walk planning: Regress factors, fair homogeneous graphs and extensions
Hootan Nakhost, Martin Müller
- 2014 (modified: 07 Jul 2022)
- AI Commun. 2014
- Readers: Everyone

View all 21 publications

Co-Authors

View all 85 co-authors