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2020 – today
- 2023
[j6]Ming-Ho Yee, Arjun Guha:
Do Machine Learning Models Produce TypeScript Types That Type Check? (Artifact). Dagstuhl Artifacts Ser. 9(2): 05:1-05:3 (2023)- [j5]Raymond Li, Loubna Ben Allal, Yangtian Zi, Niklas Muennighoff, Denis Kocetkov, Chenghao Mou, Marc Marone, Christopher Akiki, Jia Li, Jenny Chim, Qian Liu, Evgenii Zheltonozhskii, Terry Yue Zhuo, Thomas Wang, Olivier Dehaene, Mishig Davaadorj, Joel Lamy-Poirier, João Monteiro, Oleh Shliazhko, Nicolas Gontier, Nicholas Meade, Armel Zebaze, Ming-Ho Yee, Logesh Kumar Umapathi, Jian Zhu, Benjamin Lipkin, Muhtasham Oblokulov, Zhiruo Wang, Rudra Murthy V, Jason T. Stillerman, Siva Sankalp Patel, Dmitry Abulkhanov, Marco Zocca, Manan Dey, Zhihan Zhang, Nour Fahmy, Urvashi Bhattacharyya, Wenhao Yu, Swayam Singh, Sasha Luccioni, Paulo Villegas, Maxim Kunakov, Fedor Zhdanov, Manuel Romero, Tony Lee, Nadav Timor, Jennifer Ding, Claire Schlesinger, Hailey Schoelkopf, Jan Ebert, Tri Dao, Mayank Mishra, Alex Gu, Jennifer Robinson, Carolyn Jane Anderson, Brendan Dolan-Gavitt, Danish Contractor, Siva Reddy, Daniel Fried, Dzmitry Bahdanau, Yacine Jernite, Carlos Muñoz Ferrandis, Sean Hughes, Thomas Wolf, Arjun Guha, Leandro von Werra, Harm de Vries:
StarCoder: may the source be with you! Trans. Mach. Learn. Res. 2023 (2023) - [j4]Federico Cassano
, John Gouwar, Daniel Nguyen, Sydney Nguyen, Luna Phipps-Costin, Donald Pinckney, Ming-Ho Yee, Yangtian Zi, Carolyn Jane Anderson, Molly Q. Feldman, Arjun Guha, Michael Greenberg, Abhinav Jangda:
MultiPL-E: A Scalable and Polyglot Approach to Benchmarking Neural Code Generation. IEEE Trans. Software Eng. 49(7): 3675-3691 (2023) - [c4]Ming-Ho Yee, Arjun Guha:
Do Machine Learning Models Produce TypeScript Types That Type Check? ECOOP 2023: 37:1-37:28 - [i7]Ming-Ho Yee, Arjun Guha:
Do Machine Learning Models Produce TypeScript Types that Type Check? CoRR abs/2302.12163 (2023) - [i6]Raymond Li, Loubna Ben Allal, Yangtian Zi, Niklas Muennighoff, Denis Kocetkov, Chenghao Mou, Marc Marone, Christopher Akiki, Jia Li, Jenny Chim, Qian Liu, Evgenii Zheltonozhskii, Terry Yue Zhuo, Thomas Wang, Olivier Dehaene, Mishig Davaadorj, Joel Lamy-Poirier, João Monteiro, Oleh Shliazhko, Nicolas Gontier, Nicholas Meade, Armel Zebaze, Ming-Ho Yee, Logesh Kumar Umapathi, Jian Zhu, Benjamin Lipkin, Muhtasham Oblokulov, Zhiruo Wang, Rudra Murthy V, Jason Stillerman, Siva Sankalp Patel, Dmitry Abulkhanov, Marco Zocca, Manan Dey, Zhihan Zhang, Nour Moustafa-Fahmy, Urvashi Bhattacharyya, Wenhao Yu, Swayam Singh, Sasha Luccioni, Paulo Villegas, Maxim Kunakov, Fedor Zhdanov, Manuel Romero, Tony Lee, Nadav Timor, Jennifer Ding, Claire Schlesinger, Hailey Schoelkopf, Jan Ebert, Tri Dao, Mayank Mishra, Alex Gu, Jennifer Robinson, Carolyn Jane Anderson, Brendan Dolan-Gavitt, Danish Contractor, Siva Reddy, Daniel Fried, Dzmitry Bahdanau, Yacine Jernite, Carlos Muñoz Ferrandis, Sean Hughes, Thomas Wolf, Arjun Guha, Leandro von Werra, Harm de Vries:
StarCoder: may the source be with you! CoRR abs/2305.06161 (2023) - [i5]Federico Cassano, Ming-Ho Yee, Noah Shinn, Arjun Guha, Steven Holtzen:
Type Prediction With Program Decomposition and Fill-in-the-Type Training. CoRR abs/2305.17145 (2023) - 2022
- [i4]Federico Cassano, John Gouwar, Daniel Nguyen, Sydney Nguyen, Luna Phipps-Costin, Donald Pinckney, Ming-Ho Yee, Yangtian Zi, Carolyn Jane Anderson, Molly Q. Feldman, Arjun Guha, Michael Greenberg, Abhinav Jangda:
A Scalable and Extensible Approach to Benchmarking NL2Code for 18 Programming Languages. CoRR abs/2208.08227 (2022) - 2020
- [j3]Olivier Flückiger, Guido Chari, Ming-Ho Yee, Jan Jecmen, Jakob Hain, Jan Vitek:
Contextual dispatch for function specialization. Proc. ACM Program. Lang. 4(OOPSLA): 220:1-220:24 (2020)
2010 – 2019
- 2019
- [c3]Olivier Flückiger, Guido Chari, Jan Jecmen, Ming-Ho Yee, Jakob Hain, Jan Vitek:
R melts brains: an IR for first-class environments and lazy effectful arguments. DLS 2019: 55-66 - [i3]Olivier Flückiger, Guido Chari, Jan Jecmen, Ming-Ho Yee, Jakob Hain, Jan Vitek:
R Melts Brains - An IR for First-Class Environments and Lazy Effectful Arguments. CoRR abs/1907.05118 (2019) - [i2]Ming-Ho Yee, Ayaz Badouraly, Ondrej Lhoták, Frank Tip, Jan Vitek:
Precise Dataflow Analysis of Event-Driven Applications. CoRR abs/1910.12935 (2019) - 2018
- [j2]Olivier Flückiger, Gabriel Scherer, Ming-Ho Yee, Aviral Goel, Amal Ahmed, Jan Vitek:
Correctness of speculative optimizations with dynamic deoptimization. Proc. ACM Program. Lang. 2(POPL): 49:1-49:28 (2018) - 2017
- [i1]Olivier Flückiger, Gabriel Scherer, Ming-Ho Yee, Aviral Goel, Amal Ahmed, Jan Vitek:
Correctness of Speculative Optimizations with Dynamic Deoptimization. CoRR abs/1711.03050 (2017) - 2016
- [j1]Mahdi Safa, Ming-Ho Yee, Derek Rayside, Carl T. Haas:
Optimizing Contractor Selection for Construction Packages in Capital Projects. J. Comput. Civ. Eng. 30(5) (2016) - [c2]Magnus Madsen, Ming-Ho Yee, Ondrej Lhoták:
From Datalog to flix: a declarative language for fixed points on lattices. PLDI 2016: 194-208 - 2014
- [c1]Ed Zulkoski, Chris Kleynhans, Ming-Ho Yee, Derek Rayside, Krzysztof Czarnecki:
Optimizing Alloy for Multi-objective Software Product Line Configuration. ABZ 2014: 328-333
Coauthor Index
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