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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 – Proceedings

Contents - Abstracts - Authors

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

Frontmatter

Title Page
Welcome from the Chairs

Papers

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 Leather ORCID logo, and Benoit Steiner
(Meta, USA)
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Productivity Assessment of Neural Code Completion
Albert Ziegler ORCID logo, Eirini Kalliamvakou ORCID logo, X. Alice Li ORCID logo, Andrew Rice ORCID logo, Devon Rifkin ORCID logo, Shawn Simister ORCID logo, Ganesh Sittampalam ORCID logo, and Edward Aftandilian ORCID logo
(GitHub, USA)
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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 ORCID logo
(Carnegie Mellon University, USA; Columbia University, USA; Meta, USA)
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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 F. P. 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)
Publisher's Version Article Search Artifacts Available
Syntax-Guided Program Reduction for Understanding Neural Code Intelligence Models
Md Rafiqul Islam RabinORCID logo, Aftab Hussain, and Mohammad Amin Alipour
(University of Houston, USA)
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