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

Akhilesh Deepak Gotmare

Silvio Savarese

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

5 / 5 papers shown

Title
Problem Solving Through Human-AI Preference-Based Cooperation Subhabrata Dutta Timo Kaufmann Goran Glavas Ivan Habernal Kristian Kersting Frauke Kreuter Mira Mezini Iryna Gurevych Eyke Hüllermeier Hinrich Schuetze 54 1 0 14 Aug 2024
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 292 8,441 0 04 Mar 2022
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation Yue Wang Weishi Wang Shafiq R. Joty S. Hoi 188 1,144 0 02 Sep 2021
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 171 429 0 20 May 2021
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 180 853 0 09 Feb 2021