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43nd ACM SIGPLAN International Conference on Programming Language Design and Implementation (PLDI 2022)
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6th ACM SIGPLAN International Symposium on Machine Programming (MAPS 2022), June 13, 2022, San Diego, CA, USA

MAPS 2022 – Preliminary Table of Contents

Contents - Abstracts - Authors

6th ACM SIGPLAN International Symposium on Machine Programming (MAPS 2022)


Title Page
Message from the Chairs


A Systematic Evaluation of Large Language Models of Code
Frank F. Xu, Uri Alon, Graham Neubig, and Vincent Josua Hellendoorn
(Carnegie Mellon University, USA)
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A Graph Neural Network-Based Performance Model for Deep Learning Applications
Shikhar Singh, James Hegarty, Hugh James Leather, and Benoit Steiner
(Meta, n.n.; University of Edinburgh, UK)
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Productivity Assessment of Neural Code Completion
Albert Ziegler ORCID logo, Eirini Kalliamvakou, X. Alice Li, Andrew Rice, Devon Rifkin, Shawn Simister, Ganesh Sittampalam, and Edward Aftandilian ORCID logo
(GitHub, n.n.)
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From Perception to Programs: Regularize, Overparameterize, and Amortize
Hao Tang and Kevin Ellis
(Cornell University, USA)
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Predictive Synthesis of API-Centric Code
Daye Nam, Baishakhi RayORCID logo, Seohyun Kim, Xianshan Qu, and Satish Chandra
(Carnegie Mellon University, USA; Columbia University, USA; Meta, n.n.)
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ExeBench: An ML-Scale Dataset of Executable C Functions
Jordi Armengol-Estapé ORCID logo, Jackson Woodruff ORCID logo, Alexander Brauckmann ORCID logo, José Wesley de Souza Magalhães ORCID logo, and Michael O'Boyle ORCID logo
(University of Edinburgh, UK)
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Automatically Debugging AutoML Pipelines using Maro: ML Automated Remediation Oracle
Julian Dolby, Jason Tsay, and Martin Hirzel
(IBM Research, USA; IBM, USA)
Syntax-Guided Program Reduction for Understanding Neural Code Intelligence Models
Md Rafiqul Islam RabinORCID logo, Aftab Hussain, and Mohammad Amin Alipour
(uh, n.n.; central.uh, n.n.)
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