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6th MAPS@PLDI 2022: San Diego, CA, USA

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Swarat Chaudhuri, Charles Sutton:
MAPS@PLDI 2022: 6th ACM SIGPLAN International Symposium on Machine Programming, San Diego, CA, USA, 13 June 2022. ACM 2022, ISBN 978-1-4503-9273-0
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Frank F. Xu, Uri Alon, Graham Neubig, Vincent Josua Hellendoorn:
A systematic evaluation of large language models of code. 1-10
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Shikhar Singh, James Hegarty, Hugh Leather, Benoit Steiner:
A graph neural network-based performance model for deep learning applications. 11-20
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Albert Ziegler, Eirini Kalliamvakou, X. Alice Li, Andrew Rice, Devon Rifkin, Shawn Simister, Ganesh Sittampalam, Edward Aftandilian:
Productivity assessment of neural code completion. 21-29
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Hao Tang, Kevin Ellis:
From perception to programs: regularize, overparameterize, and amortize. 30-39
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Daye Nam, Baishakhi Ray, Seohyun Kim, Xianshan Qu, Satish Chandra:
Predictive synthesis of API-centric code. 40-49
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Jordi Armengol-Estapé, Jackson Woodruff, Alexander Brauckmann, José Wesley de Souza Magalhães, Michael F. P. O'Boyle:
ExeBench: an ML-scale dataset of executable C functions. 50-59
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Julian Dolby, Jason Tsay, Martin Hirzel:
Automatically debugging AutoML pipelines using maro: ML automated remediation oracle. 60-69
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Md. Rafiqul Islam Rabin, Aftab Hussain, Mohammad Amin Alipour:
Syntax-guided program reduction for understanding neural code intelligence models. 70-79

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