Hootan Nakhost

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 14

Top Topics

Labeled Training Set

Labeled Examples

Relational Dbms

Top Venues

EMNLP (Findings)

Publications

James Enouen, Hootan Nakhost, Sayna Ebrahimi, Sercan Ö. Arik, Yan Liu, Tomas Pfister
TextGenSHAP: Scalable Post-Hoc Explanations in Text Generation with Long Documents. ACL (Findings) (2024)
Xingchen Wan, Ruoxi Sun, Hootan Nakhost, Sercan Ö. Arik
Teach Better or Show Smarter? On Instructions and Exemplars in Automatic Prompt Optimization. CoRR (2024)
Cheng-Yu Hsieh, Chun-Liang Li, Chih-Kuan Yeh, Hootan Nakhost, Yasuhisa Fujii, Alex Ratner, Ranjay Krishna, Chen-Yu Lee, Tomas Pfister
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes. ACL (Findings) (2023)
Ruoxi Sun, Sercan Ö. Arik, Rajarishi Sinha, Hootan Nakhost, Hanjun Dai, Pengcheng Yin, Tomas Pfister
SQLPrompt: In-Context Text-to-SQL with Minimal Labeled Data. EMNLP (Findings) (2023)
James Enouen, Hootan Nakhost, Sayna Ebrahimi, Sercan Ö. Arik, Yan Liu, Tomas Pfister
TextGenSHAP: Scalable Post-hoc Explanations in Text Generation with Long Documents. CoRR (2023)
Xingchen Wan, Ruoxi Sun, Hootan Nakhost, Hanjun Dai, Julian Martin Eisenschlos, Sercan Ö. Arik, Tomas Pfister
Universal Self-adaptive Prompting. CoRR (2023)
Cheng-Yu Hsieh, Chun-Liang Li, Chih-Kuan Yeh, Hootan Nakhost, Yasuhisa Fujii, Alexander Ratner, Ranjay Krishna, Chen-Yu Lee, Tomas Pfister
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes. CoRR (2023)
Xingchen Wan, Ruoxi Sun, Hootan Nakhost, Hanjun Dai, Julian Eisenschlos, Sercan Ö. Arik, Tomas Pfister
Universal Self-Adaptive Prompting. EMNLP (2023)
Ruoxi Sun, Sercan Ö. Arik, Hootan Nakhost, Hanjun Dai, Rajarishi Sinha, Pengcheng Yin, Tomas Pfister
SQL-PaLM: Improved Large Language Model Adaptation for Text-to-SQL. CoRR (2023)
Ruoxi Sun, Sercan Ö. Arik, Rajarishi Sinha, Hootan Nakhost, Hanjun Dai, Pengcheng Yin, Tomas Pfister
SQLPrompt: In-Context Text-to-SQL with Minimal Labeled Data. CoRR (2023)
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, Patrick Tonker, Joel Gouker, Dave Uden, Warren Buddy Bryan, Jason Law, Deeni Fatiha, Neil Satra, Juliet Rothenberg, Molly Carlin, Satish Tallapaka, Sims Witherspoon, David Parish, Peter Dolan, Chenyu Zhao, Daniel J. Mankowitz
Controlling Commercial Cooling Systems Using Reinforcement Learning. CoRR (2022)
Shlomo Hoory, Amir Feder, Avichai Tendler, Sofia Erell, Alon Peled-Cohen, Itay Laish, Hootan Nakhost, Uri Stemmer, Ayelet Benjamini, Avinatan Hassidim, Yossi Matias
Learning and Evaluating a Differentially Private Pre-trained Language Model. EMNLP (Findings) (2021)
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
Interpretable Sequence Learning for COVID-19 Forecasting. CoRR (2020)
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
Interpretable Sequence Learning for Covid-19 Forecasting. NeurIPS (2020)
Hootan Nakhost, Martin Müller
Towards a theory of random walk planning: Regress factors, fair homogeneous graphs and extensions. AI Commun. 27 (4) (2014)
Hootan Nakhost, Martin Müller
Towards a Second Generation Random Walk Planner: An Experimental Exploration. IJCAI (2013)
Hootan Nakhost, Jörg Hoffmann, Martin Müller
Resource-Constrained Planning: A Monte Carlo Random Walk Approach. ICAPS (2012)
Hootan Nakhost, Martin Müller
A Theoretical Framework for Studying Random Walk Planning. SOCS (2012)
Fan Xie, Hootan Nakhost, Martin Müller
Planning Via Random Walk-Driven Local Search. ICAPS (2012)
Richard Anthony Valenzano, Hootan Nakhost, Martin Müller, Jonathan Schaeffer, Nathan R. Sturtevant
ArvandHerd: Parallel Planning with a Portfolio. ECAI (2012)
Fan Xie, Hootan Nakhost, Martin Müller
A Local Monte Carlo Tree Search Approach in Deterministic Planning. AAAI (2011)
Hootan Nakhost, Jörg Hoffmann, Martin Müller
Improving Local Search for Resource-Constrained Planning. SOCS (2010)
Hootan Nakhost, Martin Müller
Action Elimination and Plan Neighborhood Graph Search: Two Algorithms for Plan Improvement. ICAPS (2010)
Hootan Nakhost, Martin Müller
Monte-Carlo Exploration for Deterministic Planning. IJCAI (2009)
Hossein Hojjat, Hootan Nakhost, Marjan Sirjani
Integrating Module Checking and Deduction in a Formal Proof for the Perlman Spanning Tree Protocol (STP). J. Univers. Comput. Sci. 13 (13) (2007)
Amirali Houshmandan, Gholamreza Ghassem-Sani, Hootan Nakhost
Integration of Symmetry and Macro-operators in Planning. MICAI (2007)
Hossein Hojjat, Hootan Nakhost, Marjan Sirjani
ebeca. Electron. Notes Theor. Comput. Sci. 159 (2006)