NextCoder: Robust Adaptation of Code LMs to Diverse Code Edits
Tushar Aggarwal*, Swayam Singh*, Abhijeet Awasthi, Aditya Kanade, Nagarajan Natarajan
ICML 2025 | July 2025
Aditya Kanade
Senior Principal Researcher
출판물
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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
글쓴이 Microsoft
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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
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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, 제 1 권(FSE): pp. 675-698
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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 (DMLR-ICML) | July 2024
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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
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NoFunEval: Funny How Code LMs Falter on Requirements Beyond Functional Correctness
Manav Singhal, Tushar Aggarwal, Abhijeet Awasthi, Nagarajan Natarajan, Aditya Kanade
February 2024
Preprint
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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
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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
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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
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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
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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
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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
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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
글쓴이 Microsoft
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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
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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, 제 1 권(FSE): pp. 675-698
-
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 (DMLR-ICML) | July 2024
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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
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NoFunEval: Funny How Code LMs Falter on Requirements Beyond Functional Correctness
Manav Singhal, Tushar Aggarwal, Abhijeet Awasthi, Nagarajan Natarajan, Aditya Kanade
February 2024
Preprint
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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
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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
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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
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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
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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
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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
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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
글쓴이 Microsoft
-
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
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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, 제 1 권(FSE): pp. 675-698
-
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 (DMLR-ICML) | July 2024
-
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
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NoFunEval: Funny How Code LMs Falter on Requirements Beyond Functional Correctness
Manav Singhal, Tushar Aggarwal, Abhijeet Awasthi, Nagarajan Natarajan, Aditya Kanade
February 2024
Preprint
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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
-
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
-
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
-
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
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-
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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
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-
-
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
글쓴이 Microsoft
-
-
-
NextCoder: Robust Adaptation of Code LMs to Diverse Code Edits
Tushar Aggarwal*, Swayam Singh*, Abhijeet Awasthi, Aditya Kanade, Nagarajan Natarajan
ICML 2025 | July 2025
-
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
-
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 (DMLR-ICML) | July 2024
-
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
-
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
-
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
-
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
-
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
-
-
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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, 제 1 권(FSE): pp. 675-698
-
-
-
NoFunEval: Funny How Code LMs Falter on Requirements Beyond Functional Correctness
Manav Singhal, Tushar Aggarwal, Abhijeet Awasthi, Nagarajan Natarajan, Aditya Kanade
February 2024
Preprint
-
-
-
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
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