Baishakhi Ray
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
56
Venues
23
Active years
2008–2026
Best venue rank
A*
Where they publish
- A*ICSE13 papers
- A*ACL6 papers
- A*EMNLP5 papers
- A*SP4 papers
- AMSR4 papers
- AISSTA3 papers
- A*ICML2 papers
- ANAACL2 papers
- A*PLDI2 papers
- BFASE2 papers
- A*WWW1 paper
- A*ICLR1 paper
- BCLOUD1 paper
- UnrankedCoRL1 paper
- AEACL1 paper
- A*ICRA1 paper
- AEuroSys1 paper
- A*ASPLOS1 paper
- A*ECCV1 paper
- CSCAM1 paper
- A*CHI1 paper
- A*SOSP1 paper
- CPST1 paper
Papers
56 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | WWW | Collaborative LLM Agents for End-to-End Software Development. | Shweta Garg, Behrooz Omidvar-Tehrani, Shengyu Fu, Gauthier Guinet, Baishakhi Ray |
| 2026 | SP | Your Compiler is Backdooring Your Model: Understanding and Exploiting Compilation Inconsistency Vulnerabilities in Deep Learning Compilers. | Simin Chen, Jinjun Peng, Yixin He, Junfeng Yang, Baishakhi Ray |
| 2025 | EMNLP | Benchmarking Large Language Models Under Data Contamination: A Survey from Static to Dynamic Evaluation. | Simin Chen, Yiming Chen, Zexin Li, Yifan Jiang, Zhongwei Wan, Yixin He, Dezhi Ran, Tianle Gu, Haizhou Li, Tao Xie, Baishakhi Ray |
| 2025 | ICML | DyCodeEval: Dynamic Benchmarking of Reasoning Capabilities in Code Large Language Models Under Data Contamination. | Simin Chen, Pranav Pusarla, Baishakhi Ray |
| 2025 | ICML | EditLord: Learning Code Transformation Rules for Code Editing. | Weichen Li, Albert Jan, Baishakhi Ray, Junfeng Yang, Chengzhi Mao, Kexin Pei |
| 2025 | ICSE | 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 |
| 2025 | NAACL | LibEvolutionEval: A Benchmark and Study for Version-Specific Code Generation. | Sachit Kuhar, Wasi Uddin Ahmad, Zijian Wang, Nihal Jain, Haifeng Qian, Baishakhi Ray, Murali Krishna Ramanathan, Xiaofei Ma, Anoop Deoras |
| 2024 | EMNLP | PropTest: Automatic Property Testing for Improved Visual Programming. | Jaywon Koo, Ziyan Yang, Paola Cascante-Bonilla, Baishakhi Ray, Vicente Ordonez |
| 2024 | EMNLP | Reasoning in Token Economies: Budget-Aware Evaluation of LLM Reasoning Strategies. | Junlin Wang, Siddhartha Jain, Dejiao Zhang, Baishakhi Ray, Varun Kumar, Ben Athiwaratkun |
| 2024 | EMNLP | CodeFort: Robust Training for Code Generation Models. | 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 | ICLR | 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 |
| 2024 | ICSE | TRACED: Execution-aware Pre-training for Source Code. | Yangruibo Ding, Benjamin Steenhoek, Kexin Pei, Gail E. Kaiser, Wei Le, Baishakhi Ray |
| 2024 | ICSE | Automated Code Editing with Search-Generate-Modify. | Changshu Liu, Pelin etin, Yogesh Patodia, Baishakhi Ray, Saikat Chakraborty, Yangruibo Ding |
| 2024 | ICSE | Towards Causal Deep Learning for Vulnerability Detection. | Md Mahbubur Rahman, Ira Ceka, Chengzhi Mao, Saikat Chakraborty, Baishakhi Ray, Wei Le |
| 2023 | ACL | ReCode: Robustness Evaluation of Code Generation Models. | 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 | ACL | A Static Evaluation of Code Completion by Large Language Models. | 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 | ACL | ContraCLM: Contrastive Learning For Causal Language Model. | 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 | CLOUD | CAMEO: A Causal Transfer Learning Approach for Performance Optimization of Configurable Computer Systems. | Md Shahriar Iqbal, Ziyuan Zhong, Iftakhar Ahmad, Baishakhi Ray, Pooyan Jamshidi |
| 2023 | CoRL | Language-Guided Traffic Simulation via Scene-Level Diffusion. | Ziyuan Zhong, Davis Rempe, Yuxiao Chen, Boris Ivanovic, Yulong Cao, Danfei Xu, Marco Pavone, Baishakhi Ray |
| 2023 | EACL | Summarize and Generate to Back-translate: Unsupervised Translation of Programming Languages. | Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang |
| 2023 | ICRA | Guided Conditional Diffusion for Controllable Traffic Simulation. | Ziyuan Zhong, Davis Rempe, Danfei Xu, Yuxiao Chen, Sushant Veer, Tong Che, Baishakhi Ray, Marco Pavone |
| 2023 | ICSE | On ML-Based Program Translation: Perils and Promises. | Aniketh Malyala, Katelyn Zhou, Baishakhi Ray, Saikat Chakraborty |
| 2023 | ISSTA | CONCORD: Clone-Aware Contrastive Learning for Source Code. | Yangruibo Ding, Saikat Chakraborty, Luca Buratti, Saurabh Pujar, Alessandro Morari, Gail E. Kaiser, Baishakhi Ray |
| 2022 | ACL | Towards Learning (Dis)-Similarity of Source Code from Program Contrasts. | Yangruibo Ding, Luca Buratti, Saurabh Pujar, Alessandro Morari, Baishakhi Ray, Saikat Chakraborty |
| 2022 | EuroSys | Unicorn: reasoning about configurable system performance through the lens of causality. | Md Shahriar Iqbal, Rahul Krishna, Mohammad Ali Javidian, Baishakhi Ray, Pooyan Jamshidi |
| 2022 | ISSTA | Detecting multi-sensor fusion errors in advanced driver-assistance systems. | Ziyuan Zhong, Zhisheng Hu, Shengjian Guo, Xinyang Zhang, Zhenyu Zhong, Baishakhi Ray |
| 2022 | PLDI | Predictive synthesis of API-centric code. | Daye Nam, Baishakhi Ray, Seohyun Kim, Xianshan Qu, Satish Chandra |
| 2021 | ASPLOS | PMFuzz: test case generation for persistent memory programs. | Sihang Liu, Suyash Mahar, Baishakhi Ray, Samira Manabi Khan |
| 2021 | EMNLP | Retrieval Augmented Code Generation and Summarization. | Md. Rizwan Parvez, Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang |
| 2021 | FASE | Understanding Local Robustness of Deep Neural Networks under Natural Variations. | Ziyuan Zhong, Yuchi Tian, Baishakhi Ray |
| 2021 | NAACL | Unified Pre-training for Program Understanding and Generation. | Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang |
| 2020 | ACL | A Transformer-based Approach for Source Code Summarization. | Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang |
| 2020 | ECCV | Multitask Learning Strengthens Adversarial Robustness. | Chengzhi Mao, Amogh Gupta, Vikram Nitin, Baishakhi Ray, Shuran Song, Junfeng Yang, Carl Vondrick |
| 2020 | FASE | An Empirical Study on the Use and Misuse of Java 8 Streams. | Raffi Khatchadourian, Yiming Tang, Mehdi Bagherzadeh, Baishakhi Ray |
| 2020 | ICSE | Testing DNN image classifiers for confusion & bias errors. | Yuchi Tian, Ziyuan Zhong, Vicente Ordonez, Gail E. Kaiser, Baishakhi Ray |
| 2020 | ICSE | Testing DNN image classifiers for confusion & bias errors. | Yuchi Tian, Ziyuan Zhong, Vicente Ordonez, Gail E. Kaiser, Baishakhi Ray |
| 2020 | SP | Neutaint: Efficient Dynamic Taint Analysis with Neural Networks. | Dongdong She, Yizheng Chen, Abhishek Shah, Baishakhi Ray, Suman Jana |
| 2019 | SP | NEUZZ: Efficient Fuzzing with Neural Program Smoothing. | Dongdong She, Kexin Pei, Dave Epstein, Junfeng Yang, Baishakhi Ray, Suman Jana |
| 2019 | SCAM | Toward Optimal Selection of Information Retrieval Models for Software Engineering Tasks. | Md. Masudur Rahman, Saikat Chakraborty, Gail E. Kaiser, Baishakhi Ray |
| 2018 | ACL | Building Language Models for Text with Named Entities. | Md. Rizwan Parvez, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang |
| 2018 | ICSE | Searching for high-performing software configurations with metaheuristic algorithms. | Chong Tang, Kevin J. Sullivan, Baishakhi Ray |
| 2018 | ICSE | A recommender system for developer onboarding. | Chao Liu, Dan Yang, Xiaohong Zhang, Haibo Hu, Jed Barson, Baishakhi Ray |
| 2018 | ICSE | Which similarity metric to use for software documents?: a study on information retrieval based software engineering tasks. | Md. Masudur Rahman, Saikat Chakraborty, Baishakhi Ray |
| 2018 | ICSE | DeepTest: automated testing of deep-neural-network-driven autonomous cars. | Yuchi Tian, Kexin Pei, Suman Jana, Baishakhi Ray |
| 2018 | MSR | Evaluating how developers use general-purpose web-search for code retrieval. | Md. Masudur Rahman, Jed Barson, Sydney Paul, Joshua Kayani, Federico Andres Lois, Sebastian Fernandez Quezada, Christopher Parnin, Kathryn T. Stolee, Baishakhi Ray |
| 2018 | PLDI | Obfuscation resilient search through executable classification. | Fang-Hsiang Su, Jonathan Bell, Gail E. Kaiser, Baishakhi Ray |
| 2017 | ISSTA | GitcProc: a tool for processing and classifying GitHub commits. | Casey Casalnuovo, Yagnik Suchak, Baishakhi Ray, Cindy Rubio-Gonzlez |
| 2017 | MSR | Some from here, some from there: cross-project code reuse in GitHub. | Mohammad Gharehyazie, Baishakhi Ray, Vladimir Filkov |
| 2016 | ICSE | On the "naturalness" of buggy code. | Baishakhi Ray, Vincent J. Hellendoorn, Saheel Godhane, Zhaopeng Tu, Alberto Bacchelli, Premkumar T. Devanbu |
| 2015 | CHI | Gender and Tenure Diversity in GitHub Teams. | Bogdan Vasilescu, Daryl Posnett, Baishakhi Ray, Mark G. J. van den Brand, Alexander Serebrenik, Premkumar T. Devanbu, Vladimir Filkov |
| 2015 | ICSE | Assert Use in GitHub Projects. | Casey Casalnuovo, Premkumar T. Devanbu, Ablio Oliveira, Vladimir Filkov, Baishakhi Ray |
| 2015 | MSR | The Uniqueness of Changes: Characteristics and Applications. | Baishakhi Ray, Meiyappan Nagappan, Christian Bird, Nachiappan Nagappan, Thomas Zimmermann |
| 2014 | SP | Using Frankencerts for Automated Adversarial Testing of Certificate Validation in SSL/TLS Implementations. | Chad Brubaker, Suman Jana, Baishakhi Ray, Sarfraz Khurshid, Vitaly Shmatikov |
| 2012 | MSR | An empirical study of supplementary bug fixes. | Jihun Park, Miryung Kim, Baishakhi Ray, Doo-Hwan Bae |
| 2011 | SOSP | PTask: operating system abstractions to manage GPUs as compute devices. | Christopher J. Rossbach, Jon Currey, Mark Silberstein, Baishakhi Ray, Emmett Witchel |
| 2008 | PST | A Protocol for Building Secure and Reliable Covert Channel. | Baishakhi Ray, Shivakant Mishra |