ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2208.05596
  4. Cited By
Finding Reusable Machine Learning Components to Build Programming
  Language Processing Pipelines

Finding Reusable Machine Learning Components to Build Programming Language Processing Pipelines

11 August 2022
Patrick Flynn
T. Vanderbruggen
C. Liao
Pei-Hung Lin
M. Emani
Xipeng Shen
ArXivPDFHTML

Papers citing "Finding Reusable Machine Learning Components to Build Programming Language Processing Pipelines"

3 / 3 papers shown
Title
Scalable and Efficient MoE Training for Multitask Multilingual Models
Scalable and Efficient MoE Training for Multitask Multilingual Models
Young Jin Kim
A. A. Awan
Alexandre Muzio
Andres Felipe Cruz Salinas
Liyang Lu
Amr Hendy
Samyam Rajbhandari
Yuxiong He
Hany Awadalla
MoE
94
83
0
22 Sep 2021
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
1