MAPS 2022 – Proceedings

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

Frontmatter

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)


@InProceedings{MAPS22p1, author = {Frank F. Xu and Uri Alon and Graham Neubig and Vincent Josua Hellendoorn}, title = {A Systematic Evaluation of Large Language Models of Code}, booktitle = {Proc.\ MAPS}, publisher = {ACM}, pages = {1-0}, doi = {10.1145/3520312.3534862}, year = {2022}, } Publisher's Version

A Graph Neural Network-Based Performance Model for Deep Learning Applications
Shikhar Singh, James Hegarty, Hugh Leather, and Benoit Steiner
(Meta, USA)


@InProceedings{MAPS22p11, author = {Shikhar Singh and James Hegarty and Hugh Leather and Benoit Steiner}, title = {A Graph Neural Network-Based Performance Model for Deep Learning Applications}, booktitle = {Proc.\ MAPS}, publisher = {ACM}, pages = {11-10}, doi = {10.1145/3520312.3534863}, year = {2022}, } Publisher's Version

Productivity Assessment of Neural Code Completion
Albert Ziegler, Eirini Kalliamvakou, X. Alice Li, Andrew Rice, Devon Rifkin, Shawn Simister, Ganesh Sittampalam, and Edward Aftandilian
(GitHub, USA)


@InProceedings{MAPS22p21, author = {Albert Ziegler and Eirini Kalliamvakou and X. Alice Li and Andrew Rice and Devon Rifkin and Shawn Simister and Ganesh Sittampalam and Edward Aftandilian}, title = {Productivity Assessment of Neural Code Completion}, booktitle = {Proc.\ MAPS}, publisher = {ACM}, pages = {21-20}, doi = {10.1145/3520312.3534864}, year = {2022}, } Publisher's Version

From Perception to Programs: Regularize, Overparameterize, and Amortize
Hao Tang and Kevin Ellis
(Cornell University, USA)


@InProceedings{MAPS22p31, author = {Hao Tang and Kevin Ellis}, title = {From Perception to Programs: Regularize, Overparameterize, and Amortize}, booktitle = {Proc.\ MAPS}, publisher = {ACM}, pages = {31-30}, doi = {10.1145/3520312.3534865}, year = {2022}, } Publisher's Version

Predictive Synthesis of API-Centric Code
Daye Nam, Baishakhi Ray, Seohyun Kim, Xianshan Qu, and Satish Chandra
(Carnegie Mellon University, USA; Columbia University, USA; Meta, USA)


@InProceedings{MAPS22p41, author = {Daye Nam and Baishakhi Ray and Seohyun Kim and Xianshan Qu and Satish Chandra}, title = {Predictive Synthesis of API-Centric Code}, booktitle = {Proc.\ MAPS}, publisher = {ACM}, pages = {41-40}, doi = {10.1145/3520312.3534866}, year = {2022}, } Publisher's Version

ExeBench: An ML-Scale Dataset of Executable C Functions
Jordi Armengol-Estapé, Jackson Woodruff, Alexander Brauckmann, José Wesley de Souza Magalhães, and Michael F. P. O'Boyle
(University of Edinburgh, UK)


@InProceedings{MAPS22p51, author = {Jordi Armengol-Estapé and Jackson Woodruff and Alexander Brauckmann and José Wesley de Souza Magalhães and Michael F. P. O'Boyle}, title = {ExeBench: An ML-Scale Dataset of Executable C Functions}, booktitle = {Proc.\ MAPS}, publisher = {ACM}, pages = {51-50}, doi = {10.1145/3520312.3534867}, year = {2022}, } Publisher's Version Archive submitted (330 kB)

Automatically Debugging AutoML Pipelines using Maro: ML Automated Remediation Oracle
Julian Dolby, Jason Tsay, and Martin Hirzel
(IBM Research, USA)


@InProceedings{MAPS22p61, author = {Julian Dolby and Jason Tsay and Martin Hirzel}, title = {Automatically Debugging AutoML Pipelines using Maro: ML Automated Remediation Oracle}, booktitle = {Proc.\ MAPS}, publisher = {ACM}, pages = {61-60}, doi = {10.1145/3520312.3534868}, year = {2022}, } Publisher's Version Published Artifact Artifacts Available

Syntax-Guided Program Reduction for Understanding Neural Code Intelligence Models
Md Rafiqul Islam Rabin, Aftab Hussain, and Mohammad Amin Alipour
(University of Houston, USA)


@InProceedings{MAPS22p71, author = {Md Rafiqul Islam Rabin and Aftab Hussain and Mohammad Amin Alipour}, title = {Syntax-Guided Program Reduction for Understanding Neural Code Intelligence Models}, booktitle = {Proc.\ MAPS}, publisher = {ACM}, pages = {71-70}, doi = {10.1145/3520312.3534869}, year = {2022}, } Publisher's Version Published Artifact Artifacts Available

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