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Yangruibo Ding
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2020 – today
- 2024
- [j4]Yangruibo Ding
, Marcus J. Min
CYCLE: Learning to Self-Refine the Code Generation. Proc. ACM Program. Lang. 8(OOPSLA1): 392-418 (2024) - [j3]Changshu Liu
Automated Code Editing With Search-Generate-Modify. IEEE Trans. Software Eng. 50(7): 1675-1686 (2024) - [c10]Yangruibo Ding, Zijian Wang, Wasi Uddin Ahmad, Murali Krishna Ramanathan, Ramesh Nallapati, Parminder Bhatia, Dan Roth, Bing Xiang:
CoCoMIC: Code Completion by Jointly Modeling In-file and Cross-file Context. LREC/COLING 2024: 3433-3445 - [c9]Marcus J. Min, Yangruibo Ding, Luca Buratti, Saurabh Pujar, Gail E. Kaiser, Suman Jana, Baishakhi Ray:
Beyond Accuracy: Evaluating Self-Consistency of Code Large Language Models with IdentityChain. ICLR 2024 - [c8]Yangruibo Ding
TRACED: Execution-aware Pre-training for Source Code. ICSE 2024: 36:1-36:12 - [c7]Changshu Liu
Automated Code Editing with Search-Generate-Modify. ICSE Companion 2024: 398-399 - [i15]Yangruibo Ding, Yanjun Fu, Omniyyah Ibrahim, Chawin Sitawarin, Xinyun Chen, Basel Alomair, David A. Wagner, Baishakhi Ray, Yizheng Chen:
Vulnerability Detection with Code Language Models: How Far Are We? CoRR abs/2403.18624 (2024) - [i14]Yangruibo Ding, Marcus J. Min, Gail E. Kaiser, Baishakhi Ray:
CYCLE: Learning to Self-Refine the Code Generation. CoRR abs/2403.18746 (2024) - [i13]Yangruibo Ding, Jinjun Peng, Marcus J. Min, Gail E. Kaiser, Junfeng Yang, Baishakhi Ray:
SemCoder: Training Code Language Models with Comprehensive Semantics. CoRR abs/2406.01006 (2024) - 2023
- [c6]Yangruibo Ding, Saikat Chakraborty, Luca Buratti, Saurabh Pujar, Alessandro Morari, Gail E. Kaiser
CONCORD: Clone-Aware Contrastive Learning for Source Code. ISSTA 2023: 26-38 - [c5]Yangruibo Ding, Zijian Wang, Wasi Uddin Ahmad, Hantian Ding, Ming Tan, Nihal Jain, Murali Krishna Ramanathan, Ramesh Nallapati, Parminder Bhatia, Dan Roth, Bing Xiang:
CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion. NeurIPS 2023 - [i12]Islem Bouzenia, Yangruibo Ding, Kexin Pei, Baishakhi Ray, Michael Pradel:
TraceFixer: Execution Trace-Driven Program Repair. CoRR abs/2304.12743 (2023) - [i11]Yangruibo Ding, Saikat Chakraborty, Luca Buratti, Saurabh Pujar, Alessandro Morari, Gail E. Kaiser, Baishakhi Ray:
CONCORD: Clone-aware Contrastive Learning for Source Code. CoRR abs/2306.03234 (2023) - [i10]Changshu Liu, Pelin Çetin, Yogesh Patodia, Saikat Chakraborty, Yangruibo Ding, Baishakhi Ray:
Automated Code Editing with Search-Generate-Modify. CoRR abs/2306.06490 (2023) - [i9]Yangruibo Ding, Benjamin Steenhoek, Kexin Pei, Gail E. Kaiser, Wei Le, Baishakhi Ray:
TRACED: Execution-aware Pre-training for Source Code. CoRR abs/2306.07487 (2023) - [i8]Yangruibo Ding, Zijian Wang, Wasi Uddin Ahmad, Hantian Ding, Ming Tan, Nihal Jain, Murali Krishna Ramanathan, Ramesh Nallapati, Parminder Bhatia, Dan Roth, Bing Xiang:
CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion. CoRR abs/2310.11248 (2023) - [i7]Marcus J. Min, Yangruibo Ding, Luca Buratti, Saurabh Pujar, Gail E. Kaiser, Suman Jana, Baishakhi Ray:
Beyond Accuracy: Evaluating Self-Consistency of Code Large Language Models with IdentityChain. CoRR abs/2310.14053 (2023) - 2022
- [j2]Saikat Chakraborty
CODIT: Code Editing With Tree-Based Neural Models. IEEE Trans. Software Eng. 48(4): 1385-1399 (2022) - [j1]Saikat Chakraborty
Deep Learning Based Vulnerability Detection: Are We There Yet? IEEE Trans. Software Eng. 48(9): 3280-3296 (2022) - [c4]Yangruibo Ding, Luca Buratti, Saurabh Pujar, Alessandro Morari, Baishakhi Ray, Saikat Chakraborty:
Towards Learning (Dis)-Similarity of Source Code from Program Contrasts. ACL (1) 2022: 6300-6312 - [c3]Saikat Chakraborty, Toufique Ahmed, Yangruibo Ding, Premkumar T. Devanbu, Baishakhi Ray:
NatGen: generative pre-training by "naturalizing" source code. ESEC/SIGSOFT FSE 2022: 18-30 - [c2]Yangruibo Ding, Sahil Suneja, Yunhui Zheng, Jim Laredo, Alessandro Morari, Gail E. Kaiser
VELVET: a noVel Ensemble Learning approach to automatically locate VulnErable sTatements. SANER 2022: 959-970 - [i6]Saikat Chakraborty, Toufique Ahmed, Yangruibo Ding, Premkumar T. Devanbu, Baishakhi Ray:
NatGen: Generative pre-training by "Naturalizing" source code. CoRR abs/2206.07585 (2022) - [i5]Yangruibo Ding, Zijian Wang, Wasi Uddin Ahmad, Murali Krishna Ramanathan, Ramesh Nallapati, Parminder Bhatia, Dan Roth, Bing Xiang:
CoCoMIC: Code Completion By Jointly Modeling In-file and Cross-file Context. CoRR abs/2212.10007 (2022) - 2021
- [i4]Yangruibo Ding, Luca Buratti, Saurabh Pujar, Alessandro Morari, Baishakhi Ray, Saikat Chakraborty:
Contrastive Learning for Source Code with Structural and Functional Properties. CoRR abs/2110.03868 (2021) - [i3]Yangruibo Ding, Sahil Suneja, Yunhui Zheng, Jim Laredo, Alessandro Morari, Gail E. Kaiser, Baishakhi Ray:
VELVET: a noVel Ensemble Learning approach to automatically locate VulnErable sTatements. CoRR abs/2112.10893 (2021) - 2020
- [c1]Yangruibo Ding
Patching as Translation: the Data and the Metaphor. ASE 2020: 275-286 - [i2]Yangruibo Ding, Baishakhi Ray, Premkumar T. Devanbu, Vincent J. Hellendoorn:
Patching as Translation: the Data and the Metaphor. CoRR abs/2008.10707 (2020) - [i1]Saikat Chakraborty, Rahul Krishna, Yangruibo Ding, Baishakhi Ray:
Deep Learning based Vulnerability Detection: Are We There Yet? CoRR abs/2009.07235 (2020)
Coauthor Index
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