Baishakhi Ray

204 papers A* 32A 10B 2C 2Misc 1Journal 118Unranked 36
YearRankTypeTitle / Venue / Authors
2026 J jnl
C2SaferRust: Transforming C Projects Into Safer Rust With NeuroSymbolic Techniques.
IEEE Trans. Software Eng.
Vikram Nitin, Rahul Krishna, Luiz Lemos do Valle, Baishakhi Ray
2026 J jnl
Code Quality Analysis of Translations from C to Rust.
CoRR
Biruk Tadesse, Vikram Nitin, Mazin Salah, Baishakhi Ray, Marcelo d'Amorim, Wesley Assunção
2026 J jnl
Outrunning LLM Cutoffs: A Live Kernel Crash Resolution Benchmark for All.
CoRR
Chenxi Huang, Alex Mathai, Feiyang Yu, Aleksandr Nogikh, Petros Maniatis, Franjo Ivancic, Eugene Wu, Kostis Kaffes, Junfeng Yang, Baishakhi Ray
2026 J jnl
SWE-Spot: Building Small Repo-Experts with Repository-Centric Learning.
CoRR
Jinjun Peng, Magnus Saebo, Tianjun Zhong, Yi-Jie Cheng, Junfeng Yang, Baishakhi Ray, Simin Chen, Yangruibo Ding
2026 J jnl
TRAJEVAL: Decomposing Code Agent Trajectories for Fine-Grained Diagnosis.
CoRR
Myeongsoo Kim, Dingmin Wang, Siwei Cui, Farima Farmahinifarahani, Shweta Garg, Baishakhi Ray, Terry Yue Zhuo, Rajdeep Mukherjee, Varun Kumar
2026 J jnl
Trustworthy AI Software Engineers.
CoRR
Aldeida Aleti, Baishakhi Ray, Rashina Hoda, Simin Chen
2025 J jnl
AI Software Engineer: Programming with Trust.
CoRR
Abhik Roychoudhury, Corina S. Pasareanu, Michael Pradel, Baishakhi Ray
2025 J jnl
AppForge: From Assistant to Independent Developer - Are GPTs Ready for Software Development?
CoRR
Dezhi Ran, Yuan Cao, Mengzhou Wu, Simin Chen, Yuzhe Guo, Jun Ren, Zihe Song, Hao Yu, Jialei Wei, Linyi Li, Wei Yang, Baishakhi Ray, Tao Xie
2025 J jnl
Automatic Programming: Large Language Models and Beyond.
ACM Trans. Softw. Eng. Methodol.
Michael R. Lyu, Baishakhi Ray, Abhik Roychoudhury, Shin Hwei Tan, Patanamon Thongtanunam
2025 A* conf
Benchmarking Large Language Models Under Data Contamination: A Survey from Static to Dynamic Evaluation.
EMNLP
Simin Chen, Yiming Chen, Zexin Li, Yifan Jiang, Zhongwei Wan, Yixin He, Dezhi Ran, Tianle Gu, Haizhou Li, Tao Xie, Baishakhi Ray
2025 J jnl
C2SaferRust: Transforming C Projects into Safer Rust with NeuroSymbolic Techniques.
CoRR
Vikram Nitin, Rahul Krishna, Luiz Lemos do Valle, Baishakhi Ray
2025 — conf
CWEval: Outcome-driven Evaluation on Functionality and Security of LLM Code Generation.
LLM4Code@ICSE
Jinjun Peng, Leyi Cui, Kele Huang, Junfeng Yang, Baishakhi Ray
2025 J jnl
CWEval: Outcome-driven Evaluation on Functionality and Security of LLM Code Generation.
CoRR
Jinjun Peng, Leyi Cui, Kele Huang, Junfeng Yang, Baishakhi Ray
2025 J jnl
CodeAssistBench (CAB): Dataset & Benchmarking for Multi-turn Chat-Based Code Assistance.
CoRR
Myeongsoo Kim, Shweta Garg, Baishakhi Ray, Varun Kumar, Anoop Deoras
2025 J jnl
CodeSense: a Real-World Benchmark and Dataset for Code Semantic Reasoning.
CoRR
Monoshi Kumar Roy, Simin Chen, Benjamin Steenhoek, Jinjun Peng, Gail E. Kaiser, Baishakhi Ray, Wei Le
2025 J jnl
CrashFixer: A crash resolution agent for the Linux kernel.
CoRR
Alex Mathai, Chenxi Huang, Suwei Ma, Jihwan Kim, Hailie Mitchell, Aleksandr Nogikh, Petros Maniatis, Franjo Ivancic, Junfeng Yang, Baishakhi Ray
2025 A* conf
DyCodeEval: Dynamic Benchmarking of Reasoning Capabilities in Code Large Language Models Under Data Contamination.
ICML
Simin Chen, Pranav Pusarla, Baishakhi Ray
2025 J jnl
Dynamic Benchmarking of Reasoning Capabilities in Code Large Language Models Under Data Contamination.
CoRR
Simin Chen, Pranav Pusarla, Baishakhi Ray
2025 A* conf
EditLord: Learning Code Transformation Rules for Code Editing.
ICML
Weichen Li, Albert Jan, Baishakhi Ray, Junfeng Yang, Chengzhi Mao, Kexin Pei
2025 J jnl
EditLord: Learning Code Transformation Rules for Code Editing.
CoRR
Weichen Li, Albert Jan, Baishakhi Ray, Chengzhi Mao, Junfeng Yang, Kexin Pei
2025 J jnl
FaultLine: Automated Proof-of-Vulnerability Generation Using LLM Agents.
CoRR
Vikram Nitin, Baishakhi Ray, Roshanak Zilouchian Moghaddam
2025 J jnl
How Does LLM Reasoning Work for Code? A Survey and a Call to Action.
CoRR
Ira Ceka, Saurabh Pujar, Irene Manotas, Gail E. Kaiser, Baishakhi Ray, Shyam Ramji
2025 — conf
LibEvolutionEval: A Benchmark and Study for Version-Specific Code Generation.
NAACL (Long Papers)
Sachit Kuhar, Wasi Uddin Ahmad, Zijian Wang, Nihal Jain, Haifeng Qian, Baishakhi Ray, Murali Krishna Ramanathan, Xiaofei Ma, Anoop Deoras
2025 J jnl
Mechanics of Learned Reasoning 1: TempoBench, A Benchmark for Interpretable Deconstruction of Reasoning System Performance.
CoRR
Nikolaus Holzer, William Fishell, Baishakhi Ray, Mark Santolucito
2025 — conf
On Mitigating Code LLM Hallucinations with API Documentation.
SEIP@ICSE
Nihal Jain, Robert Kwiatkowski, Baishakhi Ray, Murali Krishna Ramanathan, Varun Kumar
2025 J jnl
REFINE: Enhancing Program Repair Agents through Context-Aware Patch Refinement.
CoRR
Anvith Pabba, Simin Chen, Alex Mathai, Anindya Chakraborty, Baishakhi Ray
2025 J jnl
Recent Advances in Large Langauge Model Benchmarks against Data Contamination: From Static to Dynamic Evaluation.
CoRR
Simin Chen, Yiming Chen, Zexin Li, Yifan Jiang, Zhongwei Wan, Yixin He, Dezhi Ran, Tianle Gu, Haizhou Li, Tao Xie, Baishakhi Ray
2025 J jnl
Red Teaming Program Repair Agents: When Correct Patches can Hide Vulnerabilities.
CoRR
Simin Chen, Yixin He, Suman Jana, Baishakhi Ray
2025 J jnl
SemAgent: A Semantics Aware Program Repair Agent.
CoRR
Anvith Pabba, Alex Mathai, Anindya Chakraborty, Baishakhi Ray
2025 J jnl
UTFix: Change Aware Unit Test Repairing using LLM.
CoRR
Shanto Rahman, Sachit Kuhar, Berk Çirisci, Pranav Garg, Shiqi Wang, Xiaofei Ma, Anoop Deoras, Baishakhi Ray
2025 J jnl
UTFix: Change Aware Unit Test Repairing using LLM.
Proc. ACM Program. Lang.
Shanto Rahman, Sachit Kuhar, Berk Çirisci, Pranav Garg, Shiqi Wang, Xiaofei Ma, Anoop Deoras, Baishakhi Ray
2025 J jnl
Understanding Software Engineering Agents Through the Lens of Traceability: An Empirical Study.
CoRR
Ira Ceka, Saurabh Pujar, Shyam Ramji, Luca Buratti, Gail E. Kaiser, Baishakhi Ray
2025 A* conf
Vulnerability Detection with Code Language Models: How Far are We?
ICSE
Yangruibo Ding, Yanjun Fu, Omniyyah Ibrahim, Chawin Sitawarin, Xinyun Chen, Basel Alomair, David A. Wagner, Baishakhi Ray, Yizheng Chen
2025 J jnl
Your Compiler is Backdooring Your Model: Understanding and Exploiting Compilation Inconsistency Vulnerabilities in Deep Learning Compilers.
CoRR
Simin Chen, Jinjun Peng, Yixin He, Junfeng Yang, Baishakhi Ray
2024 J jnl
Automated Code Editing With Search-Generate-Modify.
IEEE Trans. Software Eng.
Changshu Liu, Pelin Çetin, Yogesh Patodia, Baishakhi Ray, Saikat Chakraborty, Yangruibo Ding
2024 — conf
Automated Code Editing with Search-Generate-Modify.
ICSE Companion
Changshu Liu, Pelin Çetin, Yogesh Patodia, Baishakhi Ray, Saikat Chakraborty, Yangruibo Ding
2024 J jnl
Automatic Programming: Large Language Models and Beyond.
CoRR
Michael R. Lyu, Baishakhi Ray, Abhik Roychoudhury, Shin Hwei Tan, Patanamon Thongtanunam
2024 A* conf
Beyond Accuracy: Evaluating Self-Consistency of Code Large Language Models with IdentityChain.
ICLR
Marcus J. Min, Yangruibo Ding, Luca Buratti, Saurabh Pujar, Gail E. Kaiser, Suman Jana, Baishakhi Ray
2024 J jnl
CYCLE: Learning to Self-Refine the Code Generation.
CoRR
Yangruibo Ding, Marcus J. Min, Gail E. Kaiser, Baishakhi Ray
2024 J jnl
CYCLE: Learning to Self-Refine the Code Generation.
Proc. ACM Program. Lang.
Yangruibo Ding, Marcus J. Min, Gail E. Kaiser, Baishakhi Ray
2024 J jnl
Can LLM Prompting Serve as a Proxy for Static Analysis in Vulnerability Detection.
CoRR
Ira Ceka, Feitong Qiao, Anik Dey, Aastha Valechia, Gail E. Kaiser, Baishakhi Ray
2024 J jnl
Code-Aware Prompting: A Study of Coverage-Guided Test Generation in Regression Setting using LLM.
Proc. ACM Softw. Eng.
Gabriel Ryan, Siddhartha Jain, Mingyue Shang, Shiqi Wang, Xiaofei Ma, Murali Krishna Ramanathan, Baishakhi Ray
2024 J jnl
Code-Aware Prompting: A study of Coverage Guided Test Generation in Regression Setting using LLM.
CoRR
Gabriel Ryan, Siddhartha Jain, Mingyue Shang, Shiqi Wang, Xiaofei Ma, Murali Krishna Ramanathan, Baishakhi Ray
2024 — conf
CodeFort: Robust Training for Code Generation Models.
EMNLP (Findings)
Yuhao Zhang, Shiqi Wang, Haifeng Qian, Zijian Wang, Mingyue Shang, Linbo Liu, Sanjay Krishna Gouda, Baishakhi Ray, Murali Krishna Ramanathan, Xiaofei Ma, Anoop Deoras
2024 J jnl
CodeFort: Robust Training for Code Generation Models.
CoRR
Yuhao Zhang, Shiqi Wang, Haifeng Qian, Zijian Wang, Mingyue Shang, Linbo Liu, Sanjay Krishna Gouda, Baishakhi Ray, Murali Krishna Ramanathan, Xiaofei Ma, Anoop Deoras
2024 J jnl
Comment on Revisiting Neural Program Smoothing for Fuzzing.
CoRR
Dongdong She, Kexin Pei, Junfeng Yang, Baishakhi Ray, Suman Jana
2024 J jnl
KGym: A Platform and Dataset to Benchmark Large Language Models on Linux Kernel Crash Resolution.
CoRR
Alex Mathai, Chenxi Huang, Petros Maniatis, Aleksandr Nogikh, Franjo Ivancic, Junfeng Yang, Baishakhi Ray
2024 A* conf
LeDex: Training LLMs to Better Self-Debug and Explain Code.
NeurIPS
Nan Jiang, Xiaopeng Li, Shiqi Wang, Qiang Zhou, Soneya Binta Hossain, Baishakhi Ray, Varun Kumar, Xiaofei Ma, Anoop Deoras
2024 J jnl
LibEvolutionEval: A Benchmark and Study for Version-Specific Code Generation.
CoRR
Sachit Kuhar, Wasi Uddin Ahmad, Zijian Wang, Nihal Jain, Haifeng Qian, Baishakhi Ray, Murali Krishna Ramanathan, Xiaofei Ma, Anoop Deoras
2024 J jnl
On Mitigating Code LLM Hallucinations with API Documentation.
CoRR
Nihal Jain, Robert Kwiatkowski, Baishakhi Ray, Murali Krishna Ramanathan, Varun Kumar
2024 — ed.
Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering Workshops, ASEW 2024, Sacramento, CA, USA, 27 October 2024 - 1 November 2024
ASE Workshops
Vladimir Filkov, Baishakhi Ray, Minghui Zhou
2024 A* ed.
Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, ASE 2024, Sacramento, CA, USA, October 27 - November 1, 2024
ASE
Vladimir Filkov, Baishakhi Ray, Minghui Zhou
2024 — conf
PropTest: Automatic Property Testing for Improved Visual Programming.
EMNLP (Findings)
Jaywon Koo, Ziyan Yang, Paola Cascante-Bonilla, Baishakhi Ray, Vicente Ordonez
2024 J jnl
PropTest: Automatic Property Testing for Improved Visual Programming.
CoRR
Jaywon Koo, Ziyan Yang, Paola Cascante-Bonilla, Baishakhi Ray, Vicente Ordonez
2024 A* conf
Reasoning in Token Economies: Budget-Aware Evaluation of LLM Reasoning Strategies.
EMNLP
Junlin Wang, Siddhartha Jain, Dejiao Zhang, Baishakhi Ray, Varun Kumar, Ben Athiwaratkun
2024 J jnl
Reasoning in Token Economies: Budget-Aware Evaluation of LLM Reasoning Strategies.
CoRR
Junlin Wang, Siddhartha Jain, Dejiao Zhang, Baishakhi Ray, Varun Kumar, Ben Athiwaratkun
2024 A* conf
SemCoder: Training Code Language Models with Comprehensive Semantics Reasoning.
NeurIPS
Yangruibo Ding, Jinjun Peng, Marcus J. Min, Gail E. Kaiser, Junfeng Yang, Baishakhi Ray
2024 J jnl
SemCoder: Training Code Language Models with Comprehensive Semantics.
CoRR
Yangruibo Ding, Jinjun Peng, Marcus J. Min, Gail E. Kaiser, Junfeng Yang, Baishakhi Ray
2024 J jnl
Solving Zebra Puzzles Using Constraint-Guided Multi-Agent Systems.
CoRR
Shmuel Berman, Kathleen R. McKeown, Baishakhi Ray
2024 J jnl
SpecTra: Enhancing the Code Translation Ability of Language Models by Generating Multi-Modal Specifications.
CoRR
Vikram Nitin, Baishakhi Ray
2024 A* conf
TRACED: Execution-aware Pre-training for Source Code.
ICSE
Yangruibo Ding, Benjamin Steenhoek, Kexin Pei, Gail E. Kaiser, Wei Le, Baishakhi Ray
2024 A* conf
Towards Causal Deep Learning for Vulnerability Detection.
ICSE
Md Mahbubur Rahman, Ira Ceka, Chengzhi Mao, Saikat Chakraborty, Baishakhi Ray, Wei Le
2024 J jnl
Training LLMs to Better Self-Debug and Explain Code.
CoRR
Nan Jiang, Xiaopeng Li, Shiqi Wang, Qiang Zhou, Soneya Binta Hossain, Baishakhi Ray, Varun Kumar, Xiaofei Ma, Anoop Deoras
2024 J jnl
Vulnerability Detection with Code Language Models: How Far Are We?
CoRR
Yangruibo Ding, Yanjun Fu, Omniyyah Ibrahim, Chawin Sitawarin, Xinyun Chen, Basel Alomair, David A. Wagner, Baishakhi Ray, Yizheng Chen
2024 J jnl
Yuga: Automatically Detecting Lifetime Annotation Bugs in the Rust Language.
IEEE Trans. Software Eng.
Vikram Nitin, Anne Mulhern, Sanjay Arora, Baishakhi Ray
2024 A* conf
kGym: A Platform and Dataset to Benchmark Large Language Models on Linux Kernel Crash Resolution.
NeurIPS
Alex Mathai, Chenxi Huang, Petros Maniatis, Aleksandr Nogikh, Franjo Ivancic, Junfeng Yang, Baishakhi Ray
2023 — conf
A Static Evaluation of Code Completion by Large Language Models.
ACL (industry)
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
2023 J jnl
A Static Evaluation of Code Completion by Large Language Models.
CoRR
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
2023 J jnl
Automated Code Editing with Search-Generate-Modify.
CoRR
Changshu Liu, Pelin Çetin, Yogesh Patodia, Saikat Chakraborty, Yangruibo Ding, Baishakhi Ray
2023 J jnl
Beyond Accuracy: Evaluating Self-Consistency of Code Large Language Models with IdentityChain.
CoRR
Marcus J. Min, Yangruibo Ding, Luca Buratti, Saurabh Pujar, Gail E. Kaiser, Suman Jana, Baishakhi Ray
2023 — conf
CAMEO: A Causal Transfer Learning Approach for Performance Optimization of Configurable Computer Systems.
SoCC
Md Shahriar Iqbal, Ziyuan Zhong, Iftakhar Ahmad, Baishakhi Ray, Pooyan Jamshidi
2023 J jnl
CAMEO: A Causal Transfer Learning Approach for Performance Optimization of Configurable Computer Systems.
CoRR
Md Shahriar Iqbal, Ziyuan Zhong, Iftakhar Ahmad, Baishakhi Ray, Pooyan Jamshidi
2023 A conf
CONCORD: Clone-Aware Contrastive Learning for Source Code.
ISSTA
Yangruibo Ding, Saikat Chakraborty, Luca Buratti, Saurabh Pujar, Alessandro Morari, Gail E. Kaiser, Baishakhi Ray
2023 J jnl
CONCORD: Clone-aware Contrastive Learning for Source Code.
CoRR
Yangruibo Ding, Saikat Chakraborty, Luca Buratti, Saurabh Pujar, Alessandro Morari, Gail E. Kaiser, Baishakhi Ray
2023 — conf
ContraCLM: Contrastive Learning For Causal Language Model.
ACL (1)
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
2023 J jnl
Greener yet Powerful: Taming Large Code Generation Models with Quantization.
CoRR
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
2023 A* conf
Guided Conditional Diffusion for Controllable Traffic Simulation.
ICRA
Ziyuan Zhong, Davis Rempe, Danfei Xu, Yuxiao Chen, Sushant Veer, Tong Che, Baishakhi Ray, Marco Pavone
2023 A* conf
IvySyn: Automated Vulnerability Discovery in Deep Learning Frameworks.
USENIX Security Symposium
Neophytos Christou, Di Jin, Vaggelis Atlidakis, Baishakhi Ray, Vasileios P. Kemerlis
2023 Misc conf
Language-Guided Traffic Simulation via Scene-Level Diffusion.
CoRL
Ziyuan Zhong, Davis Rempe, Yuxiao Chen, Boris Ivanovic, Yulong Cao, Danfei Xu, Marco Pavone, Baishakhi Ray
2023 J jnl
Language-Guided Traffic Simulation via Scene-Level Diffusion.
CoRR
Ziyuan Zhong, Davis Rempe, Yuxiao Chen, Boris Ivanovic, Yulong Cao, Danfei Xu, Marco Pavone, Baishakhi Ray
2023 J jnl
Learning Approximate Execution Semantics From Traces for Binary Function Similarity.
IEEE Trans. Software Eng.
Kexin Pei, Zhou Xuan, Junfeng Yang, Suman Jana, Baishakhi Ray
2023 J jnl
Neural Network Guided Evolutionary Fuzzing for Finding Traffic Violations of Autonomous Vehicles.
IEEE Trans. Software Eng.
Ziyuan Zhong, Gail E. Kaiser, Baishakhi Ray
2023 — conf
On ML-Based Program Translation: Perils and Promises.
ICSE (NIER)
Aniketh Malyala, Katelyn Zhou, Baishakhi Ray, Saikat Chakraborty
2023 J jnl
On ML-Based Program Translation: Perils and Promises.
CoRR
Aniketh Malyala, Katelyn Zhou, Baishakhi Ray, Saikat Chakraborty
2023 — ed.
Proceedings of the 2nd International Fuzzing Workshop, FUZZING 2023, Seattle, WA, USA, 17 July 2023
FUZZING
Marcel Böhme, Yannic Noller, Baishakhi Ray, László Szekeres
2023 J jnl
Programming Language Processing (Dagstuhl Seminar 23062).
Dagstuhl Reports
Michael Pradel, Baishakhi Ray, Charles Sutton, Eran Yahav
2023 — conf
Programming Language Processing : How AI can Revolutionize Software Development?
ISEC
Baishakhi Ray
2023 — conf
ReCode: Robustness Evaluation of Code Generation Models.
ACL (1)
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
2023 A conf
Summarize and Generate to Back-translate: Unsupervised Translation of Programming Languages.
EACL
Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang
2023 J jnl
TRACED: Execution-aware Pre-training for Source Code.
CoRR
Yangruibo Ding, Benjamin Steenhoek, Kexin Pei, Gail E. Kaiser, Wei Le, Baishakhi Ray
2023 J jnl
Towards Causal Deep Learning for Vulnerability Detection.
CoRR
Md Mahbubur Rahman, Ira Ceka, Chengzhi Mao, Saikat Chakraborty, Baishakhi Ray, Wei Le
2023 — conf
Towards Greener Yet Powerful Code Generation via Quantization: An Empirical Study.
ESEC/SIGSOFT FSE
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
2023 J jnl
TraceFixer: Execution Trace-Driven Program Repair.
CoRR
Islem Bouzenia, Yangruibo Ding, Kexin Pei, Baishakhi Ray, Michael Pradel
2023 J jnl
Variation of Gender Biases in Visual Recognition Models Before and After Finetuning.
CoRR
Jaspreet Ranjit, Tianlu Wang, Baishakhi Ray, Vicente Ordonez
2023 J jnl
Yuga: Automatically Detecting Lifetime Annotation Bugs in the Rust Language.
CoRR
Vikram Nitin, Anne Mulhern, Sanjay Arora, Baishakhi Ray
2022 J jnl
Automatic Map Generation for Autonomous Driving System Testing.
CoRR
Yun Tang, Yuan Zhou, Kairui Yang, Ziyuan Zhong, Baishakhi Ray, Yang Liu, Ping Zhang, Junbo Chen
2022 A* conf
CARGO: AI-Guided Dependency Analysis for Migrating Monolithic Applications to Microservices Architecture.
ASE
Vikram Nitin, Shubhi Asthana, Baishakhi Ray, Rahul Krishna
2022 J jnl
CARGO: AI-Guided Dependency Analysis for Migrating Monolithic Applications to Microservices Architecture.
CoRR
Vikram Nitin, Shubhi Asthana, Baishakhi Ray, Rahul Krishna
2022 J jnl
CODIT: Code Editing With Tree-Based Neural Models.
IEEE Trans. Software Eng.
Saikat Chakraborty, Yangruibo Ding, Miltiadis Allamanis, Baishakhi Ray
2022 J jnl
ConEx: Efficient Exploration of Big-Data System Configurations for Better Performance.
IEEE Trans. Software Eng.
Rahul Krishna, Chong Tang, Kevin J. Sullivan, Baishakhi Ray
2022 J jnl
ContraGen: Effective Contrastive Learning For Causal Language Model.
CoRR
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
2022 J jnl
Deep Learning Based Vulnerability Detection: Are We There Yet?
IEEE Trans. Software Eng.
Saikat Chakraborty, Rahul Krishna, Yangruibo Ding, Baishakhi Ray
2022 A conf
Detecting multi-sensor fusion errors in advanced driver-assistance systems.
ISSTA
Ziyuan Zhong, Zhisheng Hu, Shengjian Guo, Xinyang Zhang, Zhenyu Zhong, Baishakhi Ray
2022 J jnl
Guided Conditional Diffusion for Controllable Traffic Simulation.
CoRR
Ziyuan Zhong, Davis Rempe, Danfei Xu, Yuxiao Chen, Sushant Veer, Tong Che, Baishakhi Ray, Marco Pavone
2022 J jnl
IvySyn: Automated Vulnerability Discovery for Deep Learning Frameworks.
CoRR
Neophytos Christou, Di Jin, Vaggelis Atlidakis, Baishakhi Ray, Vasileios P. Kemerlis
2022 J jnl
Multi-lingual Evaluation of Code Generation Models.
CoRR
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
2022 J jnl
NatGen: Generative pre-training by "Naturalizing" source code.
CoRR
Saikat Chakraborty, Toufique Ahmed, Yangruibo Ding, Premkumar T. Devanbu, Baishakhi Ray
2022 — conf
NatGen: generative pre-training by "naturalizing" source code.
ESEC/SIGSOFT FSE
Saikat Chakraborty, Toufique Ahmed, Yangruibo Ding, Premkumar T. Devanbu, Baishakhi Ray
2022 J jnl
NeuDep: Neural Binary Memory Dependence Analysis.
CoRR
Kexin Pei, Dongdong She, Michael Wang, Scott Geng, Zhou Xuan, Yaniv David, Junfeng Yang, Suman Jana, Baishakhi Ray
2022 — conf
NeuDep: neural binary memory dependence analysis.
ESEC/SIGSOFT FSE
Kexin Pei, Dongdong She, Michael Wang, Scott Geng, Zhou Xuan, Yaniv David, Junfeng Yang, Suman Jana, Baishakhi Ray
2022 J jnl
Predictive Synthesis of API-Centric Code.
CoRR
Daye Nam, Baishakhi Ray, Seohyun Kim, Xianshan Qu, Satish Chandra
2022 — conf
Predictive synthesis of API-centric code.
MAPS@PLDI
Daye Nam, Baishakhi Ray, Seohyun Kim, Xianshan Qu, Satish Chandra
2022 J jnl
ReCode: Robustness Evaluation of Code Generation Models.
CoRR
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
2022 J jnl
Repairing Group-Level Errors for DNNs Using Weighted Regularization.
CoRR
Ziyuan Zhong, Yuchi Tian, Conor J. Sweeney, Vicente Ordóñez Román, Baishakhi Ray
2022 J jnl
Summarize and Generate to Back-translate: Unsupervised Translation of Programming Languages.
CoRR
Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang
2022 — conf
Towards Learning (Dis)-Similarity of Source Code from Program Contrasts.
ACL (1)
Yangruibo Ding, Luca Buratti, Saurabh Pujar, Alessandro Morari, Baishakhi Ray, Saikat Chakraborty
2022 J jnl
Unicorn: Reasoning about Configurable System Performance through the lens of Causality.
CoRR
Md Shahriar Iqbal, Rahul Krishna, Mohammad Ali Javidian, Baishakhi Ray, Pooyan Jamshidi
2022 A conf
Unicorn: reasoning about configurable system performance through the lens of causality.
EuroSys
Md Shahriar Iqbal, Rahul Krishna, Mohammad Ali Javidian, Baishakhi Ray, Pooyan Jamshidi
2022 A conf
VELVET: a noVel Ensemble Learning approach to automatically locate VulnErable sTatements.
SANER
Yangruibo Ding, Sahil Suneja, Yunhui Zheng, Jim Laredo, Alessandro Morari, Gail E. Kaiser, Baishakhi Ray
2021 J jnl
A Survey on Scenario-Based Testing for Automated Driving Systems in High-Fidelity Simulation.
CoRR
Ziyuan Zhong, Yun Tang, Yuan Zhou, Vânia de Oliveira Neves, Yang Liu, Baishakhi Ray
2021 J jnl
Contrastive Learning for Source Code with Structural and Functional Properties.
CoRR
Yangruibo Ding, Luca Buratti, Saurabh Pujar, Alessandro Morari, Baishakhi Ray, Saikat Chakraborty
2021 J jnl
Detecting Safety Problems of Multi-Sensor Fusion in Autonomous Driving.
CoRR
Ziyuan Zhong, Zhisheng Hu, Shengjian Guo, Xinyang Zhang, Zhenyu Zhong, Baishakhi Ray
2021 J jnl
Neural Network Guided Evolutionary Fuzzing for Finding Traffic Violations of Autonomous Vehicles.
CoRR
Ziyuan Zhong, Gail E. Kaiser, Baishakhi Ray
2021 A* conf
On Multi-Modal Learning of Editing Source Code.
ASE
Saikat Chakraborty, Baishakhi Ray
2021 J jnl
On Multi-Modal Learning of Editing Source Code.
CoRR
Saikat Chakraborty, Baishakhi Ray
2021 A* conf
PMFuzz: test case generation for persistent memory programs.
ASPLOS
Sihang Liu, Suyash Mahar, Baishakhi Ray, Samira Manabi Khan
2021 — conf
Retrieval Augmented Code Generation and Summarization.
EMNLP (Findings)
Md. Rizwan Parvez, Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang
2021 J jnl
Retrieval Augmented Code Generation and Summarization.
CoRR
Md. Rizwan Parvez, Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang
2021 — conf
StateFormer: fine-grained type recovery from binaries using generative state modeling.
ESEC/SIGSOFT FSE
Kexin Pei, Jonas Guan, Matthew Broughton, Zhongtian Chen, Songchen Yao, David Williams-King, Vikas Ummadisetty, Junfeng Yang, Baishakhi Ray, Suman Jana
2021 B conf
Understanding Local Robustness of Deep Neural Networks under Natural Variations.
FASE
Ziyuan Zhong, Yuchi Tian, Baishakhi Ray
2021 — conf
Unified Pre-training for Program Understanding and Generation.
NAACL-HLT
Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang
2021 J jnl
Unified Pre-training for Program Understanding and Generation.
CoRR
Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang
2021 J jnl
VELVET: a noVel Ensemble Learning approach to automatically locate VulnErable sTatements.
CoRR
Yangruibo Ding, Sahil Suneja, Yunhui Zheng, Jim Laredo, Alessandro Morari, Gail E. Kaiser, Baishakhi Ray
2020 A* conf
A Transformer-based Approach for Source Code Summarization.
ACL
Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang
2020 J jnl
A Transformer-based Approach for Source Code Summarization.
CoRR
Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang
2020 B conf
An Empirical Study on the Use and Misuse of Java 8 Streams.
FASE
Raffi Khatchadourian, Yiming Tang, Mehdi Bagherzadeh, Baishakhi Ray
2020 J jnl
CADET: A Systematic Method For Debugging Misconfigurations using Counterfactual Reasoning.
CoRR
Rahul Krishna, Md Shahriar Iqbal, Mohammad Ali Javidian, Baishakhi Ray, Pooyan Jamshidi
2020 J jnl
Deep Learning & Software Engineering: State of Research and Future Directions.
CoRR
Prem Devanbu, Matthew B. Dwyer, Sebastian G. Elbaum, Michael Lowry, Kevin Moran, Denys Poshyvanyk, Baishakhi Ray, Rishabh Singh, Xiangyu Zhang
2020 J jnl
Deep Learning based Vulnerability Detection: Are We There Yet?
CoRR
Saikat Chakraborty, Rahul Krishna, Yangruibo Ding, Baishakhi Ray
2020 J jnl
MTFuzz: Fuzzing with a Multi-Task Neural Network.
CoRR
Dongdong She, Rahul Krishna, Lu Yan, Suman Jana, Baishakhi Ray
2020 — conf
MTFuzz: fuzzing with a multi-task neural network.
ESEC/SIGSOFT FSE
Dongdong She, Rahul Krishna, Lu Yan, Suman Jana, Baishakhi Ray
2020 — conf
Multitask Learning Strengthens Adversarial Robustness.
ECCV (2)
Chengzhi Mao, Amogh Gupta, Vikram Nitin, Baishakhi Ray, Shuran Song, Junfeng Yang, Carl Vondrick
2020 J jnl
Multitask Learning Strengthens Adversarial Robustness.
CoRR
Chengzhi Mao, Amogh Gupta, Vikram Nitin, Baishakhi Ray, Shuran Song, Junfeng Yang, Carl Vondrick
2020 A* conf
Neutaint: Efficient Dynamic Taint Analysis with Neural Networks.
SP
Dongdong She, Yizheng Chen, Abhishek Shah, Baishakhi Ray, Suman Jana
2020 A* conf
Patching as Translation: the Data and the Metaphor.
ASE
Yangruibo Ding, Baishakhi Ray, Premkumar T. Devanbu, Vincent J. Hellendoorn
2020 J jnl
Patching as Translation: the Data and the Metaphor.
CoRR
Yangruibo Ding, Baishakhi Ray, Premkumar T. Devanbu, Vincent J. Hellendoorn
2020 J jnl
Pythia: Grammar-Based Fuzzing of REST APIs with Coverage-guided Feedback and Learning-based Mutations.
CoRR
Vaggelis Atlidakis, Roxana Geambasu, Patrice Godefroid, Marina Polishchuk, Baishakhi Ray
2020 A* conf
Testing DNN image classifiers for confusion & bias errors.
ICSE
Yuchi Tian, Ziyuan Zhong, Vicente Ordonez, Gail E. Kaiser, Baishakhi Ray
2020 — conf
Testing DNN image classifiers for confusion & bias errors.
ICSE (Companion Volume)
Yuchi Tian, Ziyuan Zhong, Vicente Ordonez, Gail E. Kaiser, Baishakhi Ray
2020 J jnl
Trex: Learning Execution Semantics from Micro-Traces for Binary Similarity.
CoRR
Kexin Pei, Zhou Xuan, Junfeng Yang, Suman Jana, Baishakhi Ray
2020 J jnl
Understanding Spatial Robustness of Deep Neural Networks.
CoRR
Ziyuan Zhong, Yuchi Tian, Baishakhi Ray
2019 J jnl
Bringing Engineering Rigor to Deep Learning.
ACM SIGOPS Oper. Syst. Rev.
Kexin Pei, Shiqi Wang, Yuchi Tian, Justin Whitehouse, Carl Vondrick, Yinzhi Cao, Baishakhi Ray, Suman Jana, Junfeng Yang
2019 J jnl
ConEx: Efficient Exploration of Big-Data System Configurations for Better Performance.
CoRR
Rahul Krishna, Chong Tang, Kevin J. Sullivan, Baishakhi Ray
2019 J jnl
Cross-project code clones in GitHub.
Empir. Softw. Eng.
Mohammad Gharehyazie, Baishakhi Ray, Mehdi Keshani, Masoumeh Soleimani Zavosht, Abbas Heydarnoori, Vladimir Filkov
2019 A* conf
Metric Learning for Adversarial Robustness.
NeurIPS
Chengzhi Mao, Ziyuan Zhong, Junfeng Yang, Carl Vondrick, Baishakhi Ray
2019 J jnl
Metric Learning for Adversarial Robustness.
CoRR
Chengzhi Mao, Ziyuan Zhong, Junfeng Yang, Carl Vondrick, Baishakhi Ray
2019 A* conf
NEUZZ: Efficient Fuzzing with Neural Program Smoothing.
IEEE Symposium on Security and Privacy
Dongdong She, Kexin Pei, Dave Epstein, Junfeng Yang, Baishakhi Ray, Suman Jana
2019 J jnl
Neutaint: Efficient Dynamic Taint Analysis with Neural Networks.
CoRR
Dongdong She, Yizheng Chen, Baishakhi Ray, Suman Jana
2019 J jnl
Rebuttal to Berger et al., TOPLAS 2019.
CoRR
Baishakhi Ray, Prem Devanbu, Vladimir Filkov
2019 J jnl
Testing Deep Neural Network based Image Classifiers.
CoRR
Yuchi Tian, Ziyuan Zhong, Vicente Ordonez, Baishakhi Ray
2019 C conf
Toward Optimal Selection of Information Retrieval Models for Software Engineering Tasks.
SCAM
Md. Masudur Rahman, Saikat Chakraborty, Gail E. Kaiser, Baishakhi Ray
2019 J jnl
Unrestricted Adversarial Attacks for Semantic Segmentation.
CoRR
Guangyu Shen, Chengzhi Mao, Junfeng Yang, Baishakhi Ray
2018 J jnl
A Case Study on the Impact of Similarity Measure on Information Retrieval based Software Engineering Tasks.
CoRR
Md. Masudur Rahman, Saikat Chakraborty, Gail E. Kaiser, Baishakhi Ray
2018 — conf
A recommender system for developer onboarding.
ICSE (Companion Volume)
Chao Liu, Dan Yang, Xiaohong Zhang, Haibo Hu, Jed Barson, Baishakhi Ray
2018 — conf
Building Language Models for Text with Named Entities.
ACL (1)
Md. Rizwan Parvez, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang
2018 J jnl
Building Language Models for Text with Named Entities.
CoRR
Md. Rizwan Parvez, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang
2018 A* conf
DeepTest: automated testing of deep-neural-network-driven autonomous cars.
ICSE
Yuchi Tian, Kexin Pei, Suman Jana, Baishakhi Ray
2018 J jnl
Entropy Guided Spectrum Based Bug Localization Using Statistical Language Model.
CoRR
Saikat Chakraborty, Yujian Li, Matt Irvine, Ripon Saha, Baishakhi Ray
2018 J jnl
Evaluating How Developers Use General-Purpose Web-Search for Code Retrieval.
CoRR
Md. Masudur Rahman, Jed Barson, Sydney Paul, Joshua Kayani, Federico Andres Lois, Sebastian Fernandez Quezada, Christopher Parnin, Kathryn T. Stolee, Baishakhi Ray
2018 A conf
Evaluating how developers use general-purpose web-search for code retrieval.
MSR
Md. Masudur Rahman, Jed Barson, Sydney Paul, Joshua Kayani, Federico Andres Lois, Sebastian Fernandez Quezada, Christopher Parnin, Kathryn T. Stolee, Baishakhi Ray
2018 J jnl
NEUZZ: Efficient Fuzzing with Neural Program Learning.
CoRR
Dongdong She, Kexin Pei, Dave Epstein, Junfeng Yang, Baishakhi Ray, Suman Jana
2018 J jnl
Obfuscation Resilient Search through Executable Classification.
CoRR
Fang-Hsiang Su, Jonathan Bell, Gail E. Kaiser, Baishakhi Ray
2018 — conf
Obfuscation resilient search through executable classification.
MAPL@PLDI
Fang-Hsiang Su, Jonathan Bell, Gail E. Kaiser, Baishakhi Ray
2018 J jnl
Recommending GitHub Projects for Developer Onboarding.
IEEE Access
Chao Liu, Dan Yang, Xiaohong Zhang, Baishakhi Ray, Md. Masudur Rahman
2018 A* conf
Replay without recording of production bugs for service oriented applications.
ASE
Nipun Arora, Jonathan Bell, Franjo Ivancic, Gail E. Kaiser, Baishakhi Ray
2018 — conf
Searching for high-performing software configurations with metaheuristic algorithms.
ICSE (Companion Volume)
Chong Tang, Kevin J. Sullivan, Baishakhi Ray
2018 J jnl
Tree2Tree Neural Translation Model for Learning Source Code Changes.
CoRR
Saikat Chakraborty, Miltiadis Allamanis, Baishakhi Ray
2018 — conf
Which similarity metric to use for software documents?: a study on information retrieval based software engineering tasks.
ICSE (Companion Volume)
Md. Masudur Rahman, Saikat Chakraborty, Baishakhi Ray
2017 J jnl
A large-scale study of programming languages and code quality in GitHub.
Commun. ACM
Baishakhi Ray, Daryl Posnett, Premkumar T. Devanbu, Vladimir Filkov
2017 — conf
Automatically diagnosing and repairing error handling bugs in C.
ESEC/SIGSOFT FSE
Yuchi Tian, Baishakhi Ray
2017 J jnl
DeepTest: Automated Testing of Deep-Neural-Network-driven Autonomous Cars.
CoRR
Yuchi Tian, Kexin Pei, Suman Jana, Baishakhi Ray
2017 A conf
GitcProc: a tool for processing and classifying GitHub commits.
ISSTA
Casey Casalnuovo, Yagnik Suchak, Baishakhi Ray, Cindy Rubio-González
2017 J jnl
Interpreted Formalisms for Configurations.
CoRR
Chong Tang, Kevin J. Sullivan, Jian Xiang, Trent Weiss, Baishakhi Ray
2017 A conf
Some from here, some from there: cross-project code reuse in GitHub.
MSR
Mohammad Gharehyazie, Baishakhi Ray, Vladimir Filkov
2016 — ch.
A large ecosystem study to understand the effect of programming languages on code quality.
Perspectives on Data Science for Software Engineering
Baishakhi Ray, Daryl Posnett
2016 A* conf
APEx: automated inference of error specifications for C APIs.
ASE
Yuan Jochen Kang, Baishakhi Ray, Suman Jana
2016 A* conf
Automatically Detecting Error Handling Bugs Using Error Specifications.
USENIX Security Symposium
Suman Jana, Yuan Jochen Kang, Samuel Roth, Baishakhi Ray
2016 A* conf
On the "naturalness" of buggy code.
ICSE
Baishakhi Ray, Vincent J. Hellendoorn, Saheel Godhane, Zhaopeng Tu, Alberto Bacchelli, Premkumar T. Devanbu
2015 — conf
Assert Use in GitHub Projects.
ICSE (1)
Casey Casalnuovo, Premkumar T. Devanbu, Abílio Oliveira, Vladimir Filkov, Baishakhi Ray
2015 A* conf
Gender and Tenure Diversity in GitHub Teams.
CHI
Bogdan Vasilescu, Daryl Posnett, Baishakhi Ray, Mark G. J. van den Brand, Alexander Serebrenik, Premkumar T. Devanbu, Vladimir Filkov
2015 J jnl
On the "Naturalness" of Buggy Code.
CoRR
Baishakhi Ray, Vincent J. Hellendoorn, Zhaopeng Tu, Connie Nguyen, Saheel Godhane, Alberto Bacchelli, Premkumar T. Devanbu
2015 A conf
The Uniqueness of Changes: Characteristics and Applications.
MSR
Baishakhi Ray, Meiyappan Nagappan, Christian Bird, Nachiappan Nagappan, Thomas Zimmermann
2014 — conf
A large scale study of programming languages and code quality in github.
SIGSOFT FSE
Baishakhi Ray, Daryl Posnett, Vladimir Filkov, Premkumar T. Devanbu
2014 A* conf
Using Frankencerts for Automated Adversarial Testing of Certificate Validation in SSL/TLS Implementations.
IEEE Symposium on Security and Privacy
Chad Brubaker, Suman Jana, Baishakhi Ray, Sarfraz Khurshid, Vitaly Shmatikov
2013 — conf
An Empirical Study of API Stability and Adoption in the Android Ecosystem.
ICSM
Tyler McDonnell, Baishakhi Ray, Miryung Kim
2013 A* conf
Detecting and characterizing semantic inconsistencies in ported code.
ASE
Baishakhi Ray, Miryung Kim, Suzette Person, Neha Rungta
2012 — conf
A case study of cross-system porting in forked projects.
SIGSOFT FSE
Baishakhi Ray, Miryung Kim
2012 A conf
An empirical study of supplementary bug fixes.
MSR
Jihun Park, Miryung Kim, Baishakhi Ray, Doo-Hwan Bae
2012 — conf
REPERTOIRE: a cross-system porting analysis tool for forked software projects.
SIGSOFT FSE
Baishakhi Ray, Christopher Wiley, Miryung Kim
2011 A* conf
PTask: operating system abstractions to manage GPUs as compute devices.
SOSP
Christopher J. Rossbach, Jon Currey, Mark Silberstein, Baishakhi Ray, Emmett Witchel
2009 — conf
Touch Me Wear: Getting Physical with Social Networks.
CSE (4)
Aaron Beach, Baishakhi Ray, Leah Buechley
2008 C conf
A Protocol for Building Secure and Reliable Covert Channel.
PST
Baishakhi Ray, Shivakant Mishra
2008 — conf
Secure and reliable covert channel.
CSIIRW
Baishakhi Ray, Shivakant Mishra
2008 J jnl
WhozThat? evolving an ecosystem for context-aware mobile social networks.
IEEE Netw.
Aaron Beach, Mike Gartrell, Sirisha Akkala, Jack Elston, John Kelley, Keisuke Nishimoto, Baishakhi Ray, Sergei Razgulin, Karthik Sundaresan, Bonnie Surendar, Michael Terada, Richard Han