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Cascaded Fast and Slow Models for Efficient Semantic Code Search

Cascaded Fast and Slow Models for Efficient Semantic Code Search

15 October 2021
Akhilesh Deepak Gotmare
Junnan Li
Shafiq R. Joty
S. Hoi
ArXivPDFHTML

Papers citing "Cascaded Fast and Slow Models for Efficient Semantic Code Search"

5 / 5 papers shown
Title
CCT-Code: Cross-Consistency Training for Multilingual Clone Detection
  and Code Search
CCT-Code: Cross-Consistency Training for Multilingual Clone Detection and Code Search
Nikita Sorokin
Dmitry Abulkhanov
Sergey I. Nikolenko
Valentin Malykh
21
3
0
19 May 2023
Searching by Code: a New SearchBySnippet Dataset and SnippeR Retrieval
  Model for Searching by Code Snippets
Searching by Code: a New SearchBySnippet Dataset and SnippeR Retrieval Model for Searching by Code Snippets
I. Sedykh
Dmitry Abulkhanov
Nikita Sorokin
Sergey I. Nikolenko
Valentin Malykh
9
1
0
19 May 2023
CrossCodeBench: Benchmarking Cross-Task Generalization of Source Code
  Models
CrossCodeBench: Benchmarking Cross-Task Generalization of Source Code Models
Changan Niu
Chuanyi Li
Vincent Ng
Bin Luo
ELM
ALM
22
9
0
08 Feb 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
1,103
0
09 Feb 2021
1