Yangruibo Ding

According to our database, Yangruibo Ding authored at least 16 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

CYCLE: Learning to Self-Refine the Code Generation.

Yangruibo Ding, Marcus J. Min, Gail E. Kaiser, Baishakhi Ray

CoRR, 2024

Vulnerability Detection with Code Language Models: How Far Are We?

Yangruibo Ding, Yanjun Fu, Omniyyah Ibrahim, Chawin Sitawarin, Xinyun Chen, Basel Alomair, David A. Wagner, Baishakhi Ray, Yizheng Chen

CoRR, 2024

TRACED: Execution-aware Pre-training for Source Code.

Yangruibo Ding, Benjamin Steenhoek, Kexin Pei, Gail E. Kaiser, Wei Le, Baishakhi Ray

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

2023

Beyond Accuracy: Evaluating Self-Consistency of Code Large Language Models with IdentityChain.

Marcus J. Min, Yangruibo Ding, Luca Buratti, Saurabh Pujar, Gail E. Kaiser, Suman Jana, Baishakhi Ray

CoRR, 2023

Automated Code Editing with Search-Generate-Modify.

Changshu Liu, Pelin Çetin, Yogesh Patodia, Saikat Chakraborty, Yangruibo Ding, Baishakhi Ray

CoRR, 2023

TraceFixer: Execution Trace-Driven Program Repair.

Islem Bouzenia, Yangruibo Ding, Kexin Pei, Baishakhi Ray, Michael Pradel

CoRR, 2023

CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion.

Yangruibo Ding, Zijian Wang, Wasi Uddin Ahmad, Hantian Ding, Ming Tan, Nihal Jain, Murali Krishna Ramanathan, Ramesh Nallapati, Parminder Bhatia, Dan Roth, Bing Xiang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

CONCORD: Clone-Aware Contrastive Learning for Source Code.

Yangruibo Ding, Saikat Chakraborty, Luca Buratti, Saurabh Pujar, Alessandro Morari, Gail E. Kaiser, Baishakhi Ray

Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

2022

Deep Learning Based Vulnerability Detection: Are We There Yet?

Saikat Chakraborty, Rahul Krishna, Yangruibo Ding, Baishakhi Ray

IEEE Trans. Software Eng., 2022

CODIT: Code Editing With Tree-Based Neural Models.

Saikat Chakraborty, Yangruibo Ding, Miltiadis Allamanis, Baishakhi Ray

IEEE Trans. Software Eng., 2022

CoCoMIC: Code Completion By Jointly Modeling In-file and Cross-file Context.

Yangruibo Ding, Zijian Wang, Wasi Uddin Ahmad, Murali Krishna Ramanathan, Ramesh Nallapati, Parminder Bhatia, Dan Roth, Bing Xiang

CoRR, 2022

VELVET: a noVel Ensemble Learning approach to automatically locate VulnErable sTatements.

Yangruibo Ding, Sahil Suneja, Yunhui Zheng, Jim Laredo, Alessandro Morari, Gail E. Kaiser, Baishakhi Ray

Proceedings of the IEEE International Conference on Software Analysis, 2022

NatGen: generative pre-training by "naturalizing" source code.

Saikat Chakraborty, Toufique Ahmed, Yangruibo Ding, Premkumar T. Devanbu, Baishakhi Ray

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

Towards Learning (Dis)-Similarity of Source Code from Program Contrasts.

Yangruibo Ding, Luca Buratti, Saurabh Pujar, Alessandro Morari, Baishakhi Ray, Saikat Chakraborty

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Contrastive Learning for Source Code with Structural and Functional Properties.

Yangruibo Ding, Luca Buratti, Saurabh Pujar, Alessandro Morari, Baishakhi Ray, Saikat Chakraborty

CoRR, 2021

2020

Patching as Translation: the Data and the Metaphor.

Yangruibo Ding, Baishakhi Ray, Premkumar T. Devanbu, Vincent J. Hellendoorn

Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020