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Kirby Kuznia
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2020 – today
- 2023
- [c5]Dhruvil Deepakbhai Shah, Rebecca Belshe, Kirby Kuznia, Gil Speyer, Jason Yalim:
Employing a Research Community Network to Assess Centralized Computing Impact. PEARC 2023: 52-59 - [c4]Douglas M. Jennewein, Johnathan Lee, Chris Kurtz, William Dizon, Ian Shaeffer, Alan Chapman, Alejandro Chiquete, Josh Burks, Amber Carlson, Natalie Mason, Arhat Kobawala, Thirugnanam Jagadeesan, Praful Bhargav Basani, Torey Battelle, Rebecca Belshe, Deb McCaffrey, Marisa Brazil, Chaitanya Inumella, Kirby Kuznia, Jade Buzinski, Dhruvil Deepakbhai Shah, Sean M. Dudley, Gil Speyer, Jason Yalim:
The Sol Supercomputer at Arizona State University. PEARC 2023: 296-301 - [i3]Kuntal Kumar Pal, Kazuaki Kashihara, Ujjwala Anantheswaran, Kirby C. Kuznia, Siddhesh Jagtap, Chitta Baral:
Exploring the Limits of Transfer Learning with Unified Model in the Cybersecurity Domain. CoRR abs/2302.10346 (2023) - 2022
- [c3]Kirby Kuznia, Swaroop Mishra, Mihir Parmar, Chitta Baral:
Less is More: Summary of Long Instructions is Better for Program Synthesis. EMNLP 2022: 4532-4552 - [c2]Yizhong Wang, Swaroop Mishra, Pegah Alipoormolabashi, Yeganeh Kordi, Amirreza Mirzaei, Atharva Naik, Arjun Ashok, Arut Selvan Dhanasekaran, Anjana Arunkumar, David Stap, Eshaan Pathak, Giannis Karamanolakis, Haizhi Gary Lai, Ishan Purohit, Ishani Mondal, Jacob Anderson, Kirby Kuznia, Krima Doshi, Kuntal Kumar Pal, Maitreya Patel, Mehrad Moradshahi, Mihir Parmar, Mirali Purohit, Neeraj Varshney, Phani Rohitha Kaza, Pulkit Verma, Ravsehaj Singh Puri, Rushang Karia, Savan Doshi, Shailaja Keyur Sampat, Siddhartha Mishra, Sujan Reddy A, Sumanta Patro, Tanay Dixit, Xudong Shen:
Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks. EMNLP 2022: 5085-5109 - [c1]Kirby Kuznia, Dhruvil Shah, Gil Speyer, Jason Yalim:
Artificial Intelligence to Classify and Detect Masquerading Users on HPC Systems from Shell Histories. PEARC 2022: 54:1-54:4 - [i2]Kirby Kuznia, Swaroop Mishra, Mihir Parmar, Chitta Baral:
Less is More: Summary of Long Instructions is Better for Program Synthesis. CoRR abs/2203.08597 (2022) - [i1]Yizhong Wang, Swaroop Mishra, Pegah Alipoormolabashi, Yeganeh Kordi, Amirreza Mirzaei, Anjana Arunkumar, Arjun Ashok, Arut Selvan Dhanasekaran, Atharva Naik, David Stap, Eshaan Pathak, Giannis Karamanolakis, Haizhi Gary Lai, Ishan Purohit, Ishani Mondal, Jacob Anderson, Kirby Kuznia, Krima Doshi, Maitreya Patel, Kuntal Kumar Pal, Mehrad Moradshahi, Mihir Parmar, Mirali Purohit, Neeraj Varshney, Phani Rohitha Kaza, Pulkit Verma, Ravsehaj Singh Puri, Rushang Karia, Shailaja Keyur Sampat, Savan Doshi, Siddhartha Mishra, Sujan Reddy A, Sumanta Patro, Tanay Dixit, Xudong Shen, Chitta Baral, Yejin Choi, Hannaneh Hajishirzi, Noah A. Smith, Daniel Khashabi:
Benchmarking Generalization via In-Context Instructions on 1, 600+ Language Tasks. CoRR abs/2204.07705 (2022)
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