Aditya Kanade

Senior Principal Researcher

Publications

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- NextCoder: Robust Adaptation of Code LMs to Diverse Code Edits
  
  Tushar Aggarwal*, Swayam Singh*, Abhijeet Awasthi, Aditya Kanade, Nagarajan Natarajan
  
  ICML 2025 | July 2025
  
  Publication Download
- Code Researcher: Deep Research Agent for Large Systems Code and Commit History
  
  Ramneet Singh∗, Sathvik Joel∗, Abhav Mehrotra, Nalin Wadhwa, Ramakrishna Bairi, Aditya Kanade, Nagarajan Natarajan
  
  MSR-TR-2025-34 | June 2025
  
  Published by Microsoft
  
  Publication
- An Empirical Study of Validating Synthetic Data for Formula Generation
  
  Usneek Singh, J. Cambronero, Sumit Gulwani, Aditya Kanade, Anirudh Khatry, Vu Le, Mukul Singh, Gust Verbruggen
  
  NAACL 2025 | April 2025
  
  DOI Publication
- CodePlan: Repository-level Coding using LLMs and Planning
  
  Ramakrishna Bairi, Atharv Sonwane, Aditya Kanade, Vageesh D C, Arun Shankar Iyer, Suresh Parthasarathy, Sriram Rajamani, B. Ashok, Shashank Shet
  
  Proceedings of the ACM on Software Engineering | July 2024, Vol 1(FSE): pp. 675-698
  
  Publication Project
- Class-Level Code Generation from Natural Language Using Iterative, Tool-Enhanced Reasoning over Repository
  
  Ajinkya Deshpande, Anmol Agarwal, Shashank Shet, Arun Iyer, Aditya Kanade, Ramakrishna Bairi, Suresh Parthasarathy
  
  International Conference on Machine Learning Workshop on Data-Centric Machine Learning Research (ICML-DMLR) | July 2024
  
  Publication Github
- CORE: Resolving Code Quality Issues using LLMs
  
  Nalin Wadhwa, Jui Pradhan, Atharv Sonwane, Surya Prakash Sahu, Nagarajan Natarajan, Aditya Kanade (kanadeaditya), Suresh Parthasarathy (supartha), Sriram Rajamani (sriram)
  
  FSE | July 2024
  
  Publication PDF
- NoFunEval: Funny How Code LMs Falter on Requirements Beyond Functional Correctness
  
  Manav Singhal, Tushar Aggarwal, Abhijeet Awasthi, Nagarajan Natarajan, Aditya Kanade
  
  February 2024
  
  Preprint
  
  DOI Publication Publication Github
- FLAME: A Small Language Model for Spreadsheet Formulas
  
  Harshit Joshi, Abishai Ebenezer, José Cambronero, Sumit Gulwani, Aditya Kanade, Vu Le, Ivan Radicek, Gust Verbruggen
  
  AAAI | February 2024
  
  Publication
- Grace: Language Models Meet Code Edits
  
  Priyanshu Gupta, Avishree Khare, Yasharth Bajpai, Saikat Chakraborty, Sumit Gulwani, Aditya Kanade, Arjun Radhakrishna, Gustavo Soares, Ashish Tiwari
  
  ESEC/FSE 2023: Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering | November 2023
  
  DOI Preprint Publication
- CodePlan: Repository-level Coding using LLMs and Planning
  
  Ramakrishna Bairi, Atharv Sonwane, Aditya Kanade, Vageesh D C, Arun Iyer, Suresh Parthasarathy, Sriram Rajamani, B. Ashok, Shashank Shet
  
  Neural Information Processing Systems Workshop on Foundation Models for Decision Making (FMDM-NeurIPS) | November 2023
  
  Publication Project
- Frustrated with Code Quality Issues? LLMs can Help!
  
  Nalin Wadhwa, Jui Pradhan, Atharv Sonwane, Surya Prakash Sahu, Nagarajan Natarajan, Aditya Kanade, Suresh Parthasarathy, Sriram Rajamani
  
  September 2023
  
  Publication Project
- Monitor-Guided Decoding of Code LMs with Static Analysis of Repository Context
  
  Lakshya A Agrawal, Aditya Kanade, Navin Goyal, Shuvendu Lahiri, Sriram Rajamani
  
  NeurIPS 2023 | June 2023
  
  Preprint
  
  Publication Project

- NextCoder: Robust Adaptation of Code LMs to Diverse Code Edits
  
  Tushar Aggarwal*, Swayam Singh*, Abhijeet Awasthi, Aditya Kanade, Nagarajan Natarajan
  
  ICML 2025 | July 2025
  
  Publication Download
- Code Researcher: Deep Research Agent for Large Systems Code and Commit History
  
  Ramneet Singh∗, Sathvik Joel∗, Abhav Mehrotra, Nalin Wadhwa, Ramakrishna Bairi, Aditya Kanade, Nagarajan Natarajan
  
  MSR-TR-2025-34 | June 2025
  
  Published by Microsoft
  
  Publication
- An Empirical Study of Validating Synthetic Data for Formula Generation
  
  Usneek Singh, J. Cambronero, Sumit Gulwani, Aditya Kanade, Anirudh Khatry, Vu Le, Mukul Singh, Gust Verbruggen
  
  NAACL 2025 | April 2025
  
  DOI Publication
- CodePlan: Repository-level Coding using LLMs and Planning
  
  Ramakrishna Bairi, Atharv Sonwane, Aditya Kanade, Vageesh D C, Arun Shankar Iyer, Suresh Parthasarathy, Sriram Rajamani, B. Ashok, Shashank Shet
  
  Proceedings of the ACM on Software Engineering | July 2024, Vol 1(FSE): pp. 675-698
  
  Publication Project
- Class-Level Code Generation from Natural Language Using Iterative, Tool-Enhanced Reasoning over Repository
  
  Ajinkya Deshpande, Anmol Agarwal, Shashank Shet, Arun Iyer, Aditya Kanade, Ramakrishna Bairi, Suresh Parthasarathy
  
  International Conference on Machine Learning Workshop on Data-Centric Machine Learning Research (ICML-DMLR) | July 2024
  
  Publication Github
- CORE: Resolving Code Quality Issues using LLMs
  
  Nalin Wadhwa, Jui Pradhan, Atharv Sonwane, Surya Prakash Sahu, Nagarajan Natarajan, Aditya Kanade (kanadeaditya), Suresh Parthasarathy (supartha), Sriram Rajamani (sriram)
  
  FSE | July 2024
  
  Publication PDF
- NoFunEval: Funny How Code LMs Falter on Requirements Beyond Functional Correctness
  
  Manav Singhal, Tushar Aggarwal, Abhijeet Awasthi, Nagarajan Natarajan, Aditya Kanade
  
  February 2024
  
  Preprint
  
  DOI Publication Publication Github
- FLAME: A Small Language Model for Spreadsheet Formulas
  
  Harshit Joshi, Abishai Ebenezer, José Cambronero, Sumit Gulwani, Aditya Kanade, Vu Le, Ivan Radicek, Gust Verbruggen
  
  AAAI | February 2024
  
  Publication
- Grace: Language Models Meet Code Edits
  
  Priyanshu Gupta, Avishree Khare, Yasharth Bajpai, Saikat Chakraborty, Sumit Gulwani, Aditya Kanade, Arjun Radhakrishna, Gustavo Soares, Ashish Tiwari
  
  ESEC/FSE 2023: Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering | November 2023
  
  DOI Preprint Publication
- CodePlan: Repository-level Coding using LLMs and Planning
  
  Ramakrishna Bairi, Atharv Sonwane, Aditya Kanade, Vageesh D C, Arun Iyer, Suresh Parthasarathy, Sriram Rajamani, B. Ashok, Shashank Shet
  
  Neural Information Processing Systems Workshop on Foundation Models for Decision Making (FMDM-NeurIPS) | November 2023
  
  Publication Project
- Frustrated with Code Quality Issues? LLMs can Help!
  
  Nalin Wadhwa, Jui Pradhan, Atharv Sonwane, Surya Prakash Sahu, Nagarajan Natarajan, Aditya Kanade, Suresh Parthasarathy, Sriram Rajamani
  
  September 2023
  
  Publication Project
- Monitor-Guided Decoding of Code LMs with Static Analysis of Repository Context
  
  Lakshya A Agrawal, Aditya Kanade, Navin Goyal, Shuvendu Lahiri, Sriram Rajamani
  
  NeurIPS 2023 | June 2023
  
  Preprint
  
  Publication Project
- NextCoder: Robust Adaptation of Code LMs to Diverse Code Edits
  
  Tushar Aggarwal*, Swayam Singh*, Abhijeet Awasthi, Aditya Kanade, Nagarajan Natarajan
  
  ICML 2025 | July 2025
  
  Publication Download
- Code Researcher: Deep Research Agent for Large Systems Code and Commit History
  
  Ramneet Singh∗, Sathvik Joel∗, Abhav Mehrotra, Nalin Wadhwa, Ramakrishna Bairi, Aditya Kanade, Nagarajan Natarajan
  
  MSR-TR-2025-34 | June 2025
  
  Published by Microsoft
  
  Publication
- An Empirical Study of Validating Synthetic Data for Formula Generation
  
  Usneek Singh, J. Cambronero, Sumit Gulwani, Aditya Kanade, Anirudh Khatry, Vu Le, Mukul Singh, Gust Verbruggen
  
  NAACL 2025 | April 2025
  
  DOI Publication
- CodePlan: Repository-level Coding using LLMs and Planning
  
  Ramakrishna Bairi, Atharv Sonwane, Aditya Kanade, Vageesh D C, Arun Shankar Iyer, Suresh Parthasarathy, Sriram Rajamani, B. Ashok, Shashank Shet
  
  Proceedings of the ACM on Software Engineering | July 2024, Vol 1(FSE): pp. 675-698
  
  Publication Project
- Class-Level Code Generation from Natural Language Using Iterative, Tool-Enhanced Reasoning over Repository
  
  Ajinkya Deshpande, Anmol Agarwal, Shashank Shet, Arun Iyer, Aditya Kanade, Ramakrishna Bairi, Suresh Parthasarathy
  
  International Conference on Machine Learning Workshop on Data-Centric Machine Learning Research (ICML-DMLR) | July 2024
  
  Publication Github
- CORE: Resolving Code Quality Issues using LLMs
  
  Nalin Wadhwa, Jui Pradhan, Atharv Sonwane, Surya Prakash Sahu, Nagarajan Natarajan, Aditya Kanade (kanadeaditya), Suresh Parthasarathy (supartha), Sriram Rajamani (sriram)
  
  FSE | July 2024
  
  Publication PDF
- NoFunEval: Funny How Code LMs Falter on Requirements Beyond Functional Correctness
  
  Manav Singhal, Tushar Aggarwal, Abhijeet Awasthi, Nagarajan Natarajan, Aditya Kanade
  
  February 2024
  
  Preprint
  
  DOI Publication Publication Github
- Grace: Language Models Meet Code Edits
  
  Priyanshu Gupta, Avishree Khare, Yasharth Bajpai, Saikat Chakraborty, Sumit Gulwani, Aditya Kanade, Arjun Radhakrishna, Gustavo Soares, Ashish Tiwari
  
  ESEC/FSE 2023: Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering | November 2023
  
  DOI Preprint Publication
- CodePlan: Repository-level Coding using LLMs and Planning
  
  Ramakrishna Bairi, Atharv Sonwane, Aditya Kanade, Vageesh D C, Arun Iyer, Suresh Parthasarathy, Sriram Rajamani, B. Ashok, Shashank Shet
  
  Neural Information Processing Systems Workshop on Foundation Models for Decision Making (FMDM-NeurIPS) | November 2023
  
  Publication Project
- Frustrated with Code Quality Issues? LLMs can Help!
  
  Nalin Wadhwa, Jui Pradhan, Atharv Sonwane, Surya Prakash Sahu, Nagarajan Natarajan, Aditya Kanade, Suresh Parthasarathy, Sriram Rajamani
  
  September 2023
  
  Publication Project
- Monitor-Guided Decoding of Code LMs with Static Analysis of Repository Context
  
  Lakshya A Agrawal, Aditya Kanade, Navin Goyal, Shuvendu Lahiri, Sriram Rajamani
  
  NeurIPS 2023 | June 2023
  
  Preprint
  
  Publication Project
- An Empirical Study of Validating Synthetic Data for Formula Generation
  
  Usneek Singh, J. Cambronero, Sumit Gulwani, Aditya Kanade, Anirudh Khatry, Vu Le, Mukul Singh, Gust Verbruggen
  
  NAACL 2025 | April 2025
  
  DOI Publication

- Code Researcher: Deep Research Agent for Large Systems Code and Commit History
  
  Ramneet Singh∗, Sathvik Joel∗, Abhav Mehrotra, Nalin Wadhwa, Ramakrishna Bairi, Aditya Kanade, Nagarajan Natarajan
  
  MSR-TR-2025-34 | June 2025
  
  Published by Microsoft
  
  Publication
- NextCoder: Robust Adaptation of Code LMs to Diverse Code Edits
  
  Tushar Aggarwal*, Swayam Singh*, Abhijeet Awasthi, Aditya Kanade, Nagarajan Natarajan
  
  ICML 2025 | July 2025
  
  Publication Download
- An Empirical Study of Validating Synthetic Data for Formula Generation
  
  Usneek Singh, J. Cambronero, Sumit Gulwani, Aditya Kanade, Anirudh Khatry, Vu Le, Mukul Singh, Gust Verbruggen
  
  NAACL 2025 | April 2025
  
  DOI Publication
- Class-Level Code Generation from Natural Language Using Iterative, Tool-Enhanced Reasoning over Repository
  
  Ajinkya Deshpande, Anmol Agarwal, Shashank Shet, Arun Iyer, Aditya Kanade, Ramakrishna Bairi, Suresh Parthasarathy
  
  International Conference on Machine Learning Workshop on Data-Centric Machine Learning Research (ICML-DMLR) | July 2024
  
  Publication Github
- CORE: Resolving Code Quality Issues using LLMs
  
  Nalin Wadhwa, Jui Pradhan, Atharv Sonwane, Surya Prakash Sahu, Nagarajan Natarajan, Aditya Kanade (kanadeaditya), Suresh Parthasarathy (supartha), Sriram Rajamani (sriram)
  
  FSE | July 2024
  
  Publication PDF
- FLAME: A Small Language Model for Spreadsheet Formulas
  
  Harshit Joshi, Abishai Ebenezer, José Cambronero, Sumit Gulwani, Aditya Kanade, Vu Le, Ivan Radicek, Gust Verbruggen
  
  AAAI | February 2024
  
  Publication
- Grace: Language Models Meet Code Edits
  
  Priyanshu Gupta, Avishree Khare, Yasharth Bajpai, Saikat Chakraborty, Sumit Gulwani, Aditya Kanade, Arjun Radhakrishna, Gustavo Soares, Ashish Tiwari
  
  ESEC/FSE 2023: Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering | November 2023
  
  DOI Preprint Publication
- CodePlan: Repository-level Coding using LLMs and Planning
  
  Ramakrishna Bairi, Atharv Sonwane, Aditya Kanade, Vageesh D C, Arun Iyer, Suresh Parthasarathy, Sriram Rajamani, B. Ashok, Shashank Shet
  
  Neural Information Processing Systems Workshop on Foundation Models for Decision Making (FMDM-NeurIPS) | November 2023
  
  Publication Project
- Monitor-Guided Decoding of Code LMs with Static Analysis of Repository Context
  
  Lakshya A Agrawal, Aditya Kanade, Navin Goyal, Shuvendu Lahiri, Sriram Rajamani
  
  NeurIPS 2023 | June 2023
  
  Preprint
  
  Publication Project
- CodePlan: Repository-level Coding using LLMs and Planning
  
  Ramakrishna Bairi, Atharv Sonwane, Aditya Kanade, Vageesh D C, Arun Shankar Iyer, Suresh Parthasarathy, Sriram Rajamani, B. Ashok, Shashank Shet
  
  Proceedings of the ACM on Software Engineering | July 2024, Vol 1(FSE): pp. 675-698
  
  Publication Project
- NoFunEval: Funny How Code LMs Falter on Requirements Beyond Functional Correctness
  
  Manav Singhal, Tushar Aggarwal, Abhijeet Awasthi, Nagarajan Natarajan, Aditya Kanade
  
  February 2024
  
  Preprint
  
  DOI Publication Publication Github
- Frustrated with Code Quality Issues? LLMs can Help!
  
  Nalin Wadhwa, Jui Pradhan, Atharv Sonwane, Surya Prakash Sahu, Nagarajan Natarajan, Aditya Kanade, Suresh Parthasarathy, Sriram Rajamani
  
  September 2023
  
  Publication Project