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JEMMA: An Extensible Java Dataset for ML4Code Applications

JEMMA: An Extensible Java Dataset for ML4Code Applications

18 December 2022
Anjan Karmakar
Miltiadis Allamanis
Romain Robbes
    VLM
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Papers citing "JEMMA: An Extensible Java Dataset for ML4Code Applications"

4 / 4 papers shown
Title
INSPECT: Intrinsic and Systematic Probing Evaluation for Code
  Transformers
INSPECT: Intrinsic and Systematic Probing Evaluation for Code Transformers
Anjan Karmakar
Romain Robbes
22
4
0
08 Dec 2023
Out of Context: How important is Local Context in Neural Program Repair?
Out of Context: How important is Local Context in Neural Program Repair?
Julian Aron Prenner
Romain Robbes
14
9
0
08 Dec 2023
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
210
1,485
0
02 Sep 2021
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding
  and Generation
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation
Shuai Lu
Daya Guo
Shuo Ren
Junjie Huang
Alexey Svyatkovskiy
...
Nan Duan
Neel Sundaresan
Shao Kun Deng
Shengyu Fu
Shujie Liu
ELM
196
853
0
09 Feb 2021
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