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
Aditya Kanade
Senior Principal Researcher
Publications
Publications by Year
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Natural Language to Class-level Code Generation by Iterative Tool-augmented 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
NoFunEval: Funny How Code LMs Falter on Requirements Beyond Functional Correctness
Manav Singhal, Tushar Aggarwal, Abhijeet Awasthi, Nagarajan Natarajan, Aditya Kanade
February 2024
Preprint
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
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
Publications by Research Area
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Natural Language to Class-level Code Generation by Iterative Tool-augmented 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
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
NoFunEval: Funny How Code LMs Falter on Requirements Beyond Functional Correctness
Manav Singhal, Tushar Aggarwal, Abhijeet Awasthi, Nagarajan Natarajan, Aditya Kanade
February 2024
Preprint
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
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
-
Natural Language to Class-level Code Generation by Iterative Tool-augmented 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
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
NoFunEval: Funny How Code LMs Falter on Requirements Beyond Functional Correctness
Manav Singhal, Tushar Aggarwal, Abhijeet Awasthi, Nagarajan Natarajan, Aditya Kanade
February 2024
Preprint
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
Publications by Type
-
NoFunEval: Funny How Code LMs Falter on Requirements Beyond Functional Correctness
Manav Singhal, Tushar Aggarwal, Abhijeet Awasthi, Nagarajan Natarajan, Aditya Kanade
February 2024
Preprint
-
Natural Language to Class-level Code Generation by Iterative Tool-augmented 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
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
-
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