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ORCIDHootan Nakhost
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Journal Articles
- 2014
[j2]Hootan Nakhost, Martin Müller:
Towards a theory of random walk planning: Regress factors, fair homogeneous graphs and extensions. AI Commun. 27(4): 329-344 (2014)- 2007
- [j1]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): 2076-2104 (2007)
Conference and Workshop Papers
- 2024
- [c17]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: 13984-14011 - 2023
- [c16]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: 8003-8017 - [c15]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: 542-550 - [c14]Xingchen Wan, Ruoxi Sun, Hootan Nakhost, Hanjun Dai, Julian Eisenschlos, Sercan Ö. Arik, Tomas Pfister:
Universal Self-Adaptive Prompting. EMNLP 2023: 7437-7462 - 2021
- [c13]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: 1178-1189 - 2020
- [c12]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 - 2013
- [c11]Hootan Nakhost, Martin Müller:
Towards a Second Generation Random Walk Planner: An Experimental Exploration. IJCAI 2013: 2336-2342 - 2012
- [c10]Hootan Nakhost, Jörg Hoffmann, Martin Müller:
Resource-Constrained Planning: A Monte Carlo Random Walk Approach. ICAPS 2012 - [c9]Fan Xie, Hootan Nakhost, Martin Müller:
Planning Via Random Walk-Driven Local Search. ICAPS 2012 - [c8]Richard Anthony Valenzano, Hootan Nakhost, Martin Müller, Jonathan Schaeffer, Nathan R. Sturtevant:
ArvandHerd: Parallel Planning with a Portfolio. ECAI 2012: 786-791 - [c7]Hootan Nakhost, Martin Müller:
A Theoretical Framework for Studying Random Walk Planning. SOCS 2012: 57-64 - 2011
- [c6]Fan Xie, Hootan Nakhost, Martin Müller:
A Local Monte Carlo Tree Search Approach in Deterministic Planning. AAAI 2011 - 2010
- [c5]Hootan Nakhost, Martin Müller:
Action Elimination and Plan Neighborhood Graph Search: Two Algorithms for Plan Improvement. ICAPS 2010: 121-128 - [c4]Hootan Nakhost, Jörg Hoffmann, Martin Müller:
Improving Local Search for Resource-Constrained Planning. SOCS 2010: 81-82 - 2009
- [c3]Hootan Nakhost, Martin Müller:
Monte-Carlo Exploration for Deterministic Planning. IJCAI 2009: 1766-1771 - 2007
- [c2]Amirali Houshmandan, Gholamreza Ghassem-Sani, Hootan Nakhost:
Integration of Symmetry and Macro-operators in Planning. MICAI 2007: 1056-1066 - 2005
- [c1]Hossein Hojjat, Hootan Nakhost, Marjan Sirjani:
Formal Verification of the IEEE 802.1D Spanning Tree Protocol Using Extended Rebeca. FSEN 2005: 139-154
Informal and Other Publications
- 2024
- [i8]Xingchen Wan, Ruoxi Sun, Hootan Nakhost, Sercan Ö. Arik:
Teach Better or Show Smarter? On Instructions and Exemplars in Automatic Prompt Optimization. CoRR abs/2406.15708 (2024) - 2023
- [i7]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 abs/2305.02301 (2023) - [i6]Xingchen Wan, Ruoxi Sun, Hootan Nakhost, Hanjun Dai, Julian Martin Eisenschlos, Sercan Ö. Arik, Tomas Pfister:
Universal Self-adaptive Prompting. CoRR abs/2305.14926 (2023) - [i5]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 abs/2306.00739 (2023) - [i4]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 abs/2311.02883 (2023) - [i3]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 abs/2312.01279 (2023) - 2022
- [i2]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 abs/2211.07357 (2022) - 2020
- [i1]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 abs/2008.00646 (2020)
Coauthor Index
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