activity
20202026
most citedCodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

416 citations · 860 across the 17 of their papers we have counts for

collaborators
Showing cs.SEShow all

7 papers · 1 filter

cs.SE2024★ 5 cited

Contextualized Data-Wrangling Code Generation in Computational Notebooks

Junjie Huang, Daya Guo, Chenglong Wang +7

Data wrangling, the process of preparing raw data for further analysis in computational notebooks, is a crucial yet time-consuming step in data science. Code generation has the pot…

cs.SE2023★ 2 cited

InferFix: End-to-End Program Repair with LLMs

Matthew Jin, Syed Shahriar, Michele Tufano +4

Software development life cycle is profoundly influenced by bugs: their introduction, identification, and eventual resolution account for a significant portion of software cost. Th…

cs.SE2022★ 9 cited

ReACC: A Retrieval-Augmented Code Completion Framework

Shuai Lu, Nan Duan, Hojae Han +3

Code completion, which aims to predict the following code token(s) according to the code context, can improve the productivity of software development. Recent work has proved that…

cs.SE2022★ 3 cited

Automating Code Review Activities by Large-Scale Pre-training

Zhiyu Li, Shuai Lu, Daya Guo +8

Code review is an essential part to software development lifecycle since it aims at guaranteeing the quality of codes. Modern code review activities necessitate developers viewing,…

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.SE2020★ 189 cited

CodeBLEU: a Method for Automatic Evaluation of Code Synthesis

Shuo Ren, Daya Guo, Shuai Lu +7

Evaluation metrics play a vital role in the growth of an area as it defines the standard of distinguishing between good and bad models. In the area of code synthesis, the commonly…

cs.SE2020★ 161 cited

GraphCodeBERT: Pre-training Code Representations with Data Flow

Daya Guo, Shuo Ren, Shuai Lu +15

Pre-trained models for programming language have achieved dramatic empirical improvements on a variety of code-related tasks such as code search, code completion, code summarizatio…