sk_p: a neural program corrector for MOOCs

11 July 2016

Papers citing "sk_p: a neural program corrector for MOOCs"

9 / 9 papers shown

Title
A Study of Variable-Role-based Feature Enrichment in Neural Models of Code Aftab Hussain Md Rafiqul Islam Rabin Bowen Xu David Lo Mohammad Amin Alipour 39 3 0 08 Mar 2023
MIXCODE: Enhancing Code Classification by Mixup-Based Data Augmentation Zeming Dong Qiang Hu Yuejun Guo Maxime Cordy Mike Papadakis Zhenya Zhang Yves Le Traon Jianjun Zhao 28 8 0 06 Oct 2022
Repairing Bugs in Python Assignments Using Large Language Models Jialu Zhang J. Cambronero Sumit Gulwani Vu Le R. Piskac Gustavo Soares Gust Verbruggen KELM 30 53 0 29 Sep 2022
On the Generalizability of Neural Program Models with respect to Semantic-Preserving Program Transformations Md Rafiqul Islam Rabin Nghi D. Q. Bui Ke Wang Yijun Yu Lingxiao Jiang Mohammad Amin Alipour 30 90 0 31 Jul 2020
Graph-based, Self-Supervised Program Repair from Diagnostic Feedback Michihiro Yasunaga Percy Liang LRM 13 171 0 20 May 2020
Neutaint: Efficient Dynamic Taint Analysis with Neural Networks Dongdong She Yizheng Chen Abhishek Shah Baishakhi Ray Suman Jana 11 44 0 08 Jul 2019
Learning Blended, Precise Semantic Program Embeddings Ke Wang Z. Su NAI 22 25 0 03 Jul 2019
Dynamic Neural Program Embedding for Program Repair Ke Wang Rishabh Singh Z. Su NAI 21 136 0 20 Nov 2017
End-to-End Prediction of Buffer Overruns from Raw Source Code via Neural Memory Networks Min-Je Choi S. Jeong Hakjoo Oh Jaegul Choo 28 65 0 07 Mar 2017