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. 2207.01780
  4. Cited By
CodeRL: Mastering Code Generation through Pretrained Models and Deep
  Reinforcement Learning

CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning

5 July 2022
Hung Le
Yue Wang
Akhilesh Deepak Gotmare
Silvio Savarese
Guosheng Lin
    SyDa
    ALM
ArXivPDFHTML

Papers citing "CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning"

4 / 54 papers shown
Title
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
339
12,003
0
04 Mar 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
Chenyu You
Guosheng Lin
246
1,492
0
02 Sep 2021
Measuring Coding Challenge Competence With APPS
Measuring Coding Challenge Competence With APPS
Dan Hendrycks
Steven Basart
Saurav Kadavath
Mantas Mazeika
Akul Arora
...
Collin Burns
Samir Puranik
Horace He
D. Song
Jacob Steinhardt
ELM
AIMat
ALM
208
627
0
20 May 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
201
1,109
0
09 Feb 2021
Previous
12