416 citations · 422 across the 2 of their papers we have counts for
3 papers
cs.IR2021★ 6 cited
Generating Code with the Help of Retrieved Template Functions and Stack Overflow Answers
Dawn Drain, Changran Hu, Chen Wu +2
We approach the important challenge of code autocompletion as an open-domain task, in which a sequence-to-sequence code generator model is enhanced with the ability to attend to re…
cs.SE2021★ 416 cited
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation
Shuai Lu, Daya Guo, Shuo Ren +19
Benchmark datasets have a significant impact on accelerating research in programming language tasks. In this paper, we introduce CodeXGLUE, a benchmark dataset to foster machine le…
cs.LG2020
PyMT5: multi-mode translation of natural language and Python code with transformers
Colin B. Clement, Dawn Drain, Jonathan Timcheck +2
Simultaneously modeling source code and natural language has many exciting applications in automated software development and understanding. Pursuant to achieving such technology,…