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When Neural Code Completion Models Size up the Situation: Attaining
  Cheaper and Faster Completion through Dynamic Model Inference

When Neural Code Completion Models Size up the Situation: Attaining Cheaper and Faster Completion through Dynamic Model Inference

18 January 2024
Zhensu Sun
Xiaoning Du
Fu Song
Shangwen Wang
Li Li
ArXivPDFHTML

Papers citing "When Neural Code Completion Models Size up the Situation: Attaining Cheaper and Faster Completion through Dynamic Model Inference"

2 / 2 papers shown
Title
Productivity Assessment of Neural Code Completion
Productivity Assessment of Neural Code Completion
Albert Ziegler
Eirini Kalliamvakou
Shawn Simister
Ganesh Sittampalam
Alice Li
Andrew Rice
Devon Rifkin
E. Aftandilian
102
176
0
13 May 2022
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for
  Code Understanding and Generation
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation
Yue Wang
Weishi Wang
Shafiq R. Joty
S. Hoi
199
1,451
0
02 Sep 2021
1