Baishakhi Ray

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 140

Top Venues

CoRR

ESEC/SIGSOFT FSE

IEEE Trans. Software Eng.

ASE

Publications

Vikram Nitin, Baishakhi Ray
SpecTra: Enhancing the Code Translation Ability of Language Models by Generating Multi-Modal Specifications. CoRR (2024)
Yuhao Zhang, Shiqi Wang, Haifeng Qian, Zijian Wang, Mingyue Shang, Linbo Liu, Sanjay Krishna Gouda, Baishakhi Ray, Murali Krishna Ramanathan, Xiaofei Ma, Anoop Deoras
CodeFort: Robust Training for Code Generation Models. CoRR (2024)
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)
Nihal Jain, Robert Kwiatkowski, Baishakhi Ray, Murali Krishna Ramanathan, Varun Kumar
On Mitigating Code LLM Hallucinations with API Documentation. CoRR (2024)
Gabriel Ryan, Siddhartha Jain, Mingyue Shang, Shiqi Wang, Xiaofei Ma, Murali Krishna Ramanathan, Baishakhi Ray
Code-Aware Prompting: A Study of Coverage-Guided Test Generation in Regression Setting using LLM. Proc. ACM Softw. Eng. 1 (FSE) (2024)
Yangruibo Ding, Benjamin Steenhoek, Kexin Pei, Gail E. Kaiser, Wei Le, Baishakhi Ray
TRACED: Execution-aware Pre-training for Source Code. ICSE (2024)
Nan Jiang, Xiaopeng Li, Shiqi Wang, Qiang Zhou, Soneya Binta Hossain, Baishakhi Ray, Varun Kumar, Xiaofei Ma, Anoop Deoras
Training LLMs to Better Self-Debug and Explain Code. CoRR (2024)
Yangruibo Ding, Marcus J. Min, Gail E. Kaiser, Baishakhi Ray
CYCLE: Learning to Self-Refine the Code Generation. CoRR (2024)
Yangruibo Ding, Marcus J. Min, Gail E. Kaiser, Baishakhi Ray
CYCLE: Learning to Self-Refine the Code Generation. Proc. ACM Program. Lang. 8 (OOPSLA1) (2024)
Jaywon Koo, Ziyan Yang, Paola Cascante-Bonilla, Baishakhi Ray, Vicente Ordonez
PropTest: Automatic Property Testing for Improved Visual Programming. CoRR (2024)
Shmuel Berman, Kathleen R. McKeown, Baishakhi Ray
Solving Zebra Puzzles Using Constraint-Guided Multi-Agent Systems. CoRR (2024)
Gabriel Ryan, Siddhartha Jain, Mingyue Shang, Shiqi Wang, Xiaofei Ma, Murali Krishna Ramanathan, Baishakhi Ray
Code-Aware Prompting: A study of Coverage Guided Test Generation in Regression Setting using LLM. CoRR (2024)
Md Mahbubur Rahman, Ira Ceka, Chengzhi Mao, Saikat Chakraborty, Baishakhi Ray, Wei Le
Towards Causal Deep Learning for Vulnerability Detection. ICSE (2024)
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 (2024)
Junlin Wang, Siddhartha Jain, Dejiao Zhang, Baishakhi Ray, Varun Kumar, Ben Athiwaratkun
Reasoning in Token Economies: Budget-Aware Evaluation of LLM Reasoning Strategies. CoRR (2024)
Changshu Liu, Pelin Çetin, Yogesh Patodia, Baishakhi Ray, Saikat Chakraborty, Yangruibo Ding
Automated Code Editing with Search-Generate-Modify. ICSE Companion (2024)
Yangruibo Ding, Jinjun Peng, Marcus J. Min, Gail E. Kaiser, Junfeng Yang, Baishakhi Ray
SemCoder: Training Code Language Models with Comprehensive Semantics. CoRR (2024)
Changshu Liu, Pelin Çetin, Yogesh Patodia, Baishakhi Ray, Saikat Chakraborty, Yangruibo Ding
Automated Code Editing With Search-Generate-Modify. IEEE Trans. Software Eng. 50 (7) (2024)
Alex Mathai, Chenxi Huang, Petros Maniatis, Aleksandr Nogikh, Franjo Ivancic, Junfeng Yang, Baishakhi Ray
KGym: A Platform and Dataset to Benchmark Large Language Models on Linux Kernel Crash Resolution. CoRR (2024)
Michael R. Lyu, Baishakhi Ray, Abhik Roychoudhury, Shin Hwei Tan, Patanamon Thongtanunam
Automatic Programming: Large Language Models and Beyond. CoRR (2024)
Hantian Ding, Varun Kumar, Yuchen Tian, Zijian Wang, Rob Kwiatkowski, Xiaopeng Li, Murali Krishna Ramanathan, Baishakhi Ray, Parminder Bhatia, Sudipta Sengupta
A Static Evaluation of Code Completion by Large Language Models. ACL (industry) (2023)
Md Shahriar Iqbal, Ziyuan Zhong, Iftakhar Ahmad, Baishakhi Ray, Pooyan Jamshidi
CAMEO: A Causal Transfer Learning Approach for Performance Optimization of Configurable Computer Systems. CoRR (2023)
Ziyuan Zhong, Davis Rempe, Yuxiao Chen, Boris Ivanovic, Yulong Cao, Danfei Xu, Marco Pavone, Baishakhi Ray
Language-Guided Traffic Simulation via Scene-Level Diffusion. CoRR (2023)
Ziyuan Zhong, Gail E. Kaiser, Baishakhi Ray
Neural Network Guided Evolutionary Fuzzing for Finding Traffic Violations of Autonomous Vehicles. IEEE Trans. Software Eng. 49 (4) (2023)
Xiaokai Wei, Sujan K. Gonugondla, Wasi Uddin Ahmad, Shiqi Wang, Baishakhi Ray, Haifeng Qian, Xiaopeng Li, Varun Kumar, Zijian Wang, Yuchen Tian, Qing Sun, Ben Athiwaratkun, Mingyue Shang, Murali Krishna Ramanathan, Parminder Bhatia, Bing Xiang
Greener yet Powerful: Taming Large Code Generation Models with Quantization. CoRR (2023)
Aniketh Malyala, Katelyn Zhou, Baishakhi Ray, Saikat Chakraborty
On ML-Based Program Translation: Perils and Promises. ICSE (NIER) (2023)
Kexin Pei, Zhou Xuan, Junfeng Yang, Suman Jana, Baishakhi Ray
Learning Approximate Execution Semantics From Traces for Binary Function Similarity. IEEE Trans. Software Eng. 49 (4) (2023)
Baishakhi Ray
Programming Language Processing : How AI can Revolutionize Software Development? ISEC (2023)
Ziyuan Zhong, Davis Rempe, Yuxiao Chen, Boris Ivanovic, Yulong Cao, Danfei Xu, Marco Pavone, Baishakhi Ray
Language-Guided Traffic Simulation via Scene-Level Diffusion. CoRL (2023)
Md Shahriar Iqbal, Ziyuan Zhong, Iftakhar Ahmad, Baishakhi Ray, Pooyan Jamshidi
CAMEO: A Causal Transfer Learning Approach for Performance Optimization of Configurable Computer Systems. SoCC (2023)
Yangruibo Ding, Benjamin Steenhoek, Kexin Pei, Gail E. Kaiser, Wei Le, Baishakhi Ray
TRACED: Execution-aware Pre-training for Source Code. CoRR (2023)
Jaspreet Ranjit, Tianlu Wang, Baishakhi Ray, Vicente Ordonez
Variation of Gender Biases in Visual Recognition Models Before and After Finetuning. CoRR (2023)
Hantian Ding, Varun Kumar, Yuchen Tian, Zijian Wang, Rob Kwiatkowski, Xiaopeng Li, Murali Krishna Ramanathan, Baishakhi Ray, Parminder Bhatia, Sudipta Sengupta, Dan Roth, Bing Xiang
A Static Evaluation of Code Completion by Large Language Models. CoRR (2023)
Islem Bouzenia, Yangruibo Ding, Kexin Pei, Baishakhi Ray, Michael Pradel
TraceFixer: Execution Trace-Driven Program Repair. CoRR (2023)
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 (2023)
Nihal Jain, Dejiao Zhang, Wasi Uddin Ahmad, Zijian Wang, Feng Nan, Xiaopeng Li, Ming Tan, Ramesh Nallapati, Baishakhi Ray, Parminder Bhatia, Xiaofei Ma, Bing Xiang
ContraCLM: Contrastive Learning For Causal Language Model. ACL (1) (2023)
Yangruibo Ding, Saikat Chakraborty, Luca Buratti, Saurabh Pujar, Alessandro Morari, Gail E. Kaiser, Baishakhi Ray
CONCORD: Clone-Aware Contrastive Learning for Source Code. ISSTA (2023)
Yangruibo Ding, Saikat Chakraborty, Luca Buratti, Saurabh Pujar, Alessandro Morari, Gail E. Kaiser, Baishakhi Ray
CONCORD: Clone-aware Contrastive Learning for Source Code. CoRR (2023)
Michael Pradel, Baishakhi Ray, Charles Sutton, Eran Yahav
Programming Language Processing (Dagstuhl Seminar 23062). Dagstuhl Reports 13 (2) (2023)
Neophytos Christou, Di Jin, Vaggelis Atlidakis, Baishakhi Ray, Vasileios P. Kemerlis
IvySyn: Automated Vulnerability Discovery in Deep Learning Frameworks. USENIX Security Symposium (2023)
Md Mahbubur Rahman, Ira Ceka, Chengzhi Mao, Saikat Chakraborty, Baishakhi Ray, Wei Le
Towards Causal Deep Learning for Vulnerability Detection. CoRR (2023)
Vikram Nitin, Anne Mulhern, Sanjay Arora, Baishakhi Ray
Yuga: Automatically Detecting Lifetime Annotation Bugs in the Rust Language. CoRR (2023)
Aniketh Malyala, Katelyn Zhou, Baishakhi Ray, Saikat Chakraborty
On ML-Based Program Translation: Perils and Promises. CoRR (2023)
Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang
Summarize and Generate to Back-translate: Unsupervised Translation of Programming Languages. EACL (2023)
Shiqi Wang, Zheng Li, Haifeng Qian, Chenghao Yang, Zijian Wang, Mingyue Shang, Varun Kumar, Samson Tan, Baishakhi Ray, Parminder Bhatia, Ramesh Nallapati, Murali Krishna Ramanathan, Dan Roth, Bing Xiang
ReCode: Robustness Evaluation of Code Generation Models. ACL (1) (2023)
Xiaokai Wei, Sujan Kumar Gonugondla, Shiqi Wang, Wasi Uddin Ahmad, Baishakhi Ray, Haifeng Qian, Xiaopeng Li, Varun Kumar, Zijian Wang, Yuchen Tian, Qing Sun, Ben Athiwaratkun, Mingyue Shang, Murali Krishna Ramanathan, Parminder Bhatia, Bing Xiang
Towards Greener Yet Powerful Code Generation via Quantization: An Empirical Study. ESEC/SIGSOFT FSE (2023)
Ziyuan Zhong, Davis Rempe, Danfei Xu, Yuxiao Chen, Sushant Veer, Tong Che, Baishakhi Ray, Marco Pavone
Guided Conditional Diffusion for Controllable Traffic Simulation. ICRA (2023)
Changshu Liu, Pelin Çetin, Yogesh Patodia, Saikat Chakraborty, Yangruibo Ding, Baishakhi Ray
Automated Code Editing with Search-Generate-Modify. CoRR (2023)
Md Shahriar Iqbal, Rahul Krishna, Mohammad Ali Javidian, Baishakhi Ray, Pooyan Jamshidi
Unicorn: reasoning about configurable system performance through the lens of causality. EuroSys (2022)
Saikat Chakraborty, Toufique Ahmed, Yangruibo Ding, Premkumar T. Devanbu, Baishakhi Ray
NatGen: Generative pre-training by "Naturalizing" source code. CoRR (2022)
Kexin Pei, Dongdong She, Michael Wang, Scott Geng, Zhou Xuan, Yaniv David, Junfeng Yang, Suman Jana, Baishakhi Ray
NeuDep: Neural Binary Memory Dependence Analysis. CoRR (2022)
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)
Nihal Jain, Dejiao Zhang, Wasi Uddin Ahmad, Zijian Wang, Feng Nan, Xiaopeng Li, Ming Tan, Ramesh Nallapati, Baishakhi Ray, Parminder Bhatia, Xiaofei Ma, Bing Xiang
ContraGen: Effective Contrastive Learning For Causal Language Model. CoRR (2022)
Rahul Krishna, Chong Tang, Kevin J. Sullivan, Baishakhi Ray
ConEx: Efficient Exploration of Big-Data System Configurations for Better Performance. IEEE Trans. Software Eng. 48 (3) (2022)
Yun Tang, Yuan Zhou, Kairui Yang, Ziyuan Zhong, Baishakhi Ray, Yang Liu, Ping Zhang, Junbo Chen
Automatic Map Generation for Autonomous Driving System Testing. CoRR (2022)
Daye Nam, Baishakhi Ray, Seohyun Kim, Xianshan Qu, Satish Chandra
Predictive Synthesis of API-Centric Code. CoRR (2022)
Saikat Chakraborty, Yangruibo Ding, Miltiadis Allamanis, Baishakhi Ray
CODIT: Code Editing With Tree-Based Neural Models. IEEE Trans. Software Eng. 48 (4) (2022)
Saikat Chakraborty, Toufique Ahmed, Yangruibo Ding, Premkumar T. Devanbu, Baishakhi Ray
NatGen: generative pre-training by "naturalizing" source code. ESEC/SIGSOFT FSE (2022)
Daye Nam, Baishakhi Ray, Seohyun Kim, Xianshan Qu, Satish Chandra
Predictive synthesis of API-centric code. MAPS@PLDI (2022)
Kexin Pei, Dongdong She, Michael Wang, Scott Geng, Zhou Xuan, Yaniv David, Junfeng Yang, Suman Jana, Baishakhi Ray
NeuDep: neural binary memory dependence analysis. ESEC/SIGSOFT FSE (2022)
Ziyuan Zhong, Davis Rempe, Danfei Xu, Yuxiao Chen, Sushant Veer, Tong Che, Baishakhi Ray, Marco Pavone
Guided Conditional Diffusion for Controllable Traffic Simulation. CoRR (2022)
Vikram Nitin, Shubhi Asthana, Baishakhi Ray, Rahul Krishna
CARGO: AI-Guided Dependency Analysis for Migrating Monolithic Applications to Microservices Architecture. CoRR (2022)
Neophytos Christou, Di Jin, Vaggelis Atlidakis, Baishakhi Ray, Vasileios P. Kemerlis
IvySyn: Automated Vulnerability Discovery for Deep Learning Frameworks. CoRR (2022)
Ziyuan Zhong, Zhisheng Hu, Shengjian Guo, Xinyang Zhang, Zhenyu Zhong, Baishakhi Ray
Detecting multi-sensor fusion errors in advanced driver-assistance systems. ISSTA (2022)
Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang
Summarize and Generate to Back-translate: Unsupervised Translation of Programming Languages. CoRR (2022)
Ben Athiwaratkun, Sanjay Krishna Gouda, Zijian Wang, Xiaopeng Li, Yuchen Tian, Ming Tan, Wasi Uddin Ahmad, Shiqi Wang, Qing Sun, Mingyue Shang, Sujan Kumar Gonugondla, Hantian Ding, Varun Kumar, Nathan Fulton, Arash Farahani, Siddhartha Jain, Robert Giaquinto, Haifeng Qian, Murali Krishna Ramanathan, Ramesh Nallapati, Baishakhi Ray, Parminder Bhatia, Sudipta Sengupta, Dan Roth, Bing Xiang
Multi-lingual Evaluation of Code Generation Models. CoRR (2022)
Shiqi Wang, Zheng Li, Haifeng Qian, Chenghao Yang, Zijian Wang, Mingyue Shang, Varun Kumar, Samson Tan, Baishakhi Ray, Parminder Bhatia, Ramesh Nallapati, Murali Krishna Ramanathan, Dan Roth, Bing Xiang
ReCode: Robustness Evaluation of Code Generation Models. CoRR (2022)
Saikat Chakraborty, Rahul Krishna, Yangruibo Ding, Baishakhi Ray
Deep Learning Based Vulnerability Detection: Are We There Yet? IEEE Trans. Software Eng. 48 (9) (2022)
Vikram Nitin, Shubhi Asthana, Baishakhi Ray, Rahul Krishna
CARGO: AI-Guided Dependency Analysis for Migrating Monolithic Applications to Microservices Architecture. ASE (2022)
Md Shahriar Iqbal, Rahul Krishna, Mohammad Ali Javidian, Baishakhi Ray, Pooyan Jamshidi
Unicorn: Reasoning about Configurable System Performance through the lens of Causality. CoRR (2022)
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. SANER (2022)
Ziyuan Zhong, Yuchi Tian, Conor J. Sweeney, Vicente Ordóñez Román, Baishakhi Ray
Repairing Group-Level Errors for DNNs Using Weighted Regularization. CoRR (2022)
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 (2021)
Saikat Chakraborty, Baishakhi Ray
On Multi-Modal Learning of Editing Source Code. CoRR (2021)
Yangruibo Ding, Luca Buratti, Saurabh Pujar, Alessandro Morari, Baishakhi Ray, Saikat Chakraborty
Contrastive Learning for Source Code with Structural and Functional Properties. CoRR (2021)
Md. Rizwan Parvez, Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang
Retrieval Augmented Code Generation and Summarization. CoRR (2021)
Md. Rizwan Parvez, Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang
Retrieval Augmented Code Generation and Summarization. EMNLP (Findings) (2021)
Ziyuan Zhong, Yun Tang, Yuan Zhou, Vânia de Oliveira Neves, Yang Liu, Baishakhi Ray
A Survey on Scenario-Based Testing for Automated Driving Systems in High-Fidelity Simulation. CoRR (2021)
Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang
Unified Pre-training for Program Understanding and Generation. NAACL-HLT (2021)
Ziyuan Zhong, Gail E. Kaiser, Baishakhi Ray
Neural Network Guided Evolutionary Fuzzing for Finding Traffic Violations of Autonomous Vehicles. CoRR (2021)
Kexin Pei, Jonas Guan, Matthew Broughton, Zhongtian Chen, Songchen Yao, David Williams-King, Vikas Ummadisetty, Junfeng Yang, Baishakhi Ray, Suman Jana
StateFormer: fine-grained type recovery from binaries using generative state modeling. ESEC/SIGSOFT FSE (2021)
Ziyuan Zhong, Yuchi Tian, Baishakhi Ray
Understanding Local Robustness of Deep Neural Networks under Natural Variations. FASE (2021)
Sihang Liu, Suyash Mahar, Baishakhi Ray, Samira Manabi Khan
PMFuzz: test case generation for persistent memory programs. ASPLOS (2021)
Ziyuan Zhong, Zhisheng Hu, Shengjian Guo, Xinyang Zhang, Zhenyu Zhong, Baishakhi Ray
Detecting Safety Problems of Multi-Sensor Fusion in Autonomous Driving. CoRR (2021)
Saikat Chakraborty, Baishakhi Ray
On Multi-Modal Learning of Editing Source Code. ASE (2021)
Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang
Unified Pre-training for Program Understanding and Generation. CoRR (2021)
Raffi Khatchadourian, Yiming Tang, Mehdi Bagherzadeh, Baishakhi Ray
An Empirical Study on the Use and Misuse of Java 8 Streams. FASE (2020)
Yangruibo Ding, Baishakhi Ray, Premkumar T. Devanbu, Vincent J. Hellendoorn
Patching as Translation: the Data and the Metaphor. ASE (2020)
Chengzhi Mao, Amogh Gupta, Vikram Nitin, Baishakhi Ray, Shuran Song, Junfeng Yang, Carl Vondrick
Multitask Learning Strengthens Adversarial Robustness. ECCV (2) (2020)
Rahul Krishna, Md Shahriar Iqbal, Mohammad Ali Javidian, Baishakhi Ray, Pooyan Jamshidi
CADET: A Systematic Method For Debugging Misconfigurations using Counterfactual Reasoning. CoRR (2020)
Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang
A Transformer-based Approach for Source Code Summarization. CoRR (2020)
Dongdong She, Rahul Krishna, Lu Yan, Suman Jana, Baishakhi Ray
MTFuzz: fuzzing with a multi-task neural network. ESEC/SIGSOFT FSE (2020)
Saikat Chakraborty, Rahul Krishna, Yangruibo Ding, Baishakhi Ray
Deep Learning based Vulnerability Detection: Are We There Yet? CoRR (2020)
Yangruibo Ding, Baishakhi Ray, Premkumar T. Devanbu, Vincent J. Hellendoorn
Patching as Translation: the Data and the Metaphor. CoRR (2020)
Prem Devanbu, Matthew B. Dwyer, Sebastian G. Elbaum, Michael Lowry, Kevin Moran, Denys Poshyvanyk, Baishakhi Ray, Rishabh Singh, Xiangyu Zhang
Deep Learning & Software Engineering: State of Research and Future Directions. CoRR (2020)
Yuchi Tian, Ziyuan Zhong, Vicente Ordonez, Gail E. Kaiser, Baishakhi Ray
Testing DNN image classifiers for confusion & bias errors. ICSE (Companion Volume) (2020)
Dongdong She, Yizheng Chen, Abhishek Shah, Baishakhi Ray, Suman Jana
Neutaint: Efficient Dynamic Taint Analysis with Neural Networks. IEEE Symposium on Security and Privacy (2020)
Dongdong She, Rahul Krishna, Lu Yan, Suman Jana, Baishakhi Ray
MTFuzz: Fuzzing with a Multi-Task Neural Network. CoRR (2020)
Chengzhi Mao, Amogh Gupta, Vikram Nitin, Baishakhi Ray, Shuran Song, Junfeng Yang, Carl Vondrick
Multitask Learning Strengthens Adversarial Robustness. CoRR (2020)
Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang
A Transformer-based Approach for Source Code Summarization. ACL (2020)

Baishakhi Ray.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Baishakhi Ray