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Unlock the Correlation between Supervised Fine-Tuning and Reinforcement
  Learning in Training Code Large Language Models

Unlock the Correlation between Supervised Fine-Tuning and Reinforcement Learning in Training Code Large Language Models

14 June 2024
Jie Chen
Xintian Han
Yu Ma
Xun Zhou
Liang Xiang
    ALM
    LRM
ArXivPDFHTML

Papers citing "Unlock the Correlation between Supervised Fine-Tuning and Reinforcement Learning in Training Code Large Language Models"

4 / 4 papers shown
Title
StepCoder: Improve Code Generation with Reinforcement Learning from
  Compiler Feedback
StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback
Shihan Dou
Yan Liu
Haoxiang Jia
Limao Xiong
Enyu Zhou
...
Tao Ji
Rui Zheng
Qi Zhang
Xuanjing Huang
Tao Gui
LLMAG
54
28
0
02 Feb 2024
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
301
11,730
0
04 Mar 2022
Multitask Prompted Training Enables Zero-Shot Task Generalization
Multitask Prompted Training Enables Zero-Shot Task Generalization
Victor Sanh
Albert Webson
Colin Raffel
Stephen H. Bach
Lintang Sutawika
...
T. Bers
Stella Biderman
Leo Gao
Thomas Wolf
Alexander M. Rush
LRM
203
1,651
0
15 Oct 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
204
1,451
0
02 Sep 2021
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