PLDI 2022 Co-Located Events
43nd ACM SIGPLAN International Conference on Programming Language Design and Implementation (PLDI 2022)

Title Page

Welcome 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)

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)

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)

Publisher's Version

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

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)

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)

Publisher's Version Archive submitted (330 kB) Info

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

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)

Publisher's Version Published Artifact Artifacts Available