NextCoder: Robust Adaptation of Code LMs to Diverse Code Edits
Tushar Aggarwal*, Swayam Singh*, Abhijeet Awasthi, Aditya Kanade, Nagarajan Natarajan
ICML 2025 | July 2025
Nagarajan Natarajan
Principal Researcher
论文与出版物
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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
作者：Microsoft
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Plan*RAG: Efficient Test-Time Planning for Retrieval Augmented Generation
Prakhar Verma, Sukruta Prakash Midigeshi, Gaurav Sinha, Arno Solin, Nagarajan Natarajan, Amit Sharma
ICLR 2025 - Workshop on Reasoning and Planning for LLMs | March 2025
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Reward Copilot for RL-driven Systems Optimization
Karan Tandon, Manav Mishra, Gagan Somashekar, Mayukh Das, Nagarajan Natarajan
Advances in Neural Information Processing Systems 2024 - Workshop on ML For Systems | November 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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Differentially Private Reward Estimation with Preference Feedback
Sayak Ray Chowdhury, Xingyu Zhou, Nagarajan Natarajan
AISTATS | May 2024
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Provably Robust DPO: Aligning Language Models with Noisy Feedback
Sayak Ray Chowdhury, Anush Kini, Nagarajan Natarajan
ICML 2024 | May 2024
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OPPerTune: Post-Deployment Configuration Tuning of Services Made Easy
Gagan Somashekar, Karan Tandon, Anush Kini, Chieh-Chun Chang, Petr Husak, Ranjita Bhagwan, Mayukh Das, Anshul Gandhi, Nagarajan Natarajan
NSDI 2024 | April 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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Don’t Forget the User: It’s Time to Rethink Network Measurements
Rahul Bothra, Aryan Taneja, Debopam Bhattacherjee, Rohan Gandhi, Venkat Padmanabhan, Ranjita Bhagwan, Nagarajan Natarajan, Saikat Guha, Ross Cutler
ACM HotNets | 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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Combinatorial categorized bandits with expert rankings
Gaurav Sinha, Sayak Ray Chowdhury, Nagarajan Natarajan, Amit Sharma
UAI | July 2023
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SelfTune: Tuning Cluster Managers
Ajaykrishna Karthikeyan, Nagarajan Natarajan, Gagan Somashekar, Lei Zhao, Ranjita Bhagwan, Rodrigo Fonseca, Tatiana Racheva, Yogesh Bansal
2023 Networked Systems Design and Implementation | April 2023
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Simulating Network Paths with Recurrent Buffering Units
Divyam Anshumaan, Sriram Balasubramanian, Shubham Tiwari, Nagarajan Natarajan, Sundararajan Sellamanickam, Venkat Padmanabhan
The 37th AAAI Conference on Artificial Intelligence | February 2023
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Learning Accurate Decision Trees with Bandit Feedback via Quantized Gradient Descent
[Guest] Ajaykrishna Karthikeyan (ajaykrishna-karthikeyan), Naman Jain, Nagarajan Natarajan, Prateek Jain
Transactions on Machine Learning Research | September 2022
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Data-Driven Network Path Simulation with iBox
Sachin Ashok, Shubham Tiwari, Nagarajan Natarajan, Venkat Padmanabhan, Sundararajan Sellamanickam
ACM SIGMETRICS | June 2022
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Jigsaw: Large Language Models meet Program Synthesis
Naman Jain, Skanda Vaidyanath, Arun Iyer, Nagarajan Natarajan, Suresh Parthasarathy, Sriram Rajamani, Rahul Sharma
International Conference on Software Engineering (ICSE) | May 2022
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Optimal Regret Algorithm for Pseudo-1d Bandit Convex Optimization
Aadirupa Saha, Nagarajan Natarajan, Praneeth Netrapalli, Prateek Jain
2021 International Conference on Machine Learning | July 2021
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Programming by Rewards
Nagarajan Natarajan, Ajaykrishna Karthikeyan, Prateek Jain, Ivan Radicek, Sriram Rajamani, Sumit Gulwani, Johannes Gehrke
July 2020
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OASIS: ILP-Guided Synthesis of Loop Invariants
Sahil Bhatia, Saswat Padhi, Nagarajan Natarajan, Rahul Sharma, Prateek Jain
November 2019
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Distributional Semantics Meets Multi-Label Learning
Vivek Gupta, Rahul Wadbude, Nagarajan Natarajan, Harish Karnick, Prateek Jain, Piyush Rai
2019 National Conference on Artificial Intelligence | July 2019
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Learning Natural Programs from a Few Examples in Real-Time
Nagarajan Natarajan, Danny Simmons, Naren Datha (narend), Prateek Jain, Sumit Gulwani
AIStats | January 2019
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Learning from binary labels with instance-dependent noise
Aditya Krishna Menon, Brendan van Rooyen, Nagarajan Natarajan
Machine Learning | May 2018, 第 107 卷(8): pp. 1561-1595
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-
-
Active Heteroscedastic Regression
Kamalika Chaudhuri, Prateek Jain, Nagarajan Natarajan
2017 International Conference on Machine Learning | July 2017
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Consistency Analysis for Binary Classification Revisited
Krzysztof Dembczyński, Wojciech Kotłowski, Oluwasanmi Koyejo, Nagarajan Natarajan
2017 International Conference on Machine Learning | July 2017
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-
Regret Bounds for Non-decomposable Metrics with Missing Labels
Nagarajan Natarajan, Prateek Jain
2016 Neural Information Processing Systems | December 2016
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-
Reward Copilot for RL-driven Systems Optimization
Karan Tandon, Manav Mishra, Gagan Somashekar, Mayukh Das, Nagarajan Natarajan
Advances in Neural Information Processing Systems 2024 - Workshop on ML For Systems | November 2024
-
OPPerTune: Post-Deployment Configuration Tuning of Services Made Easy
Gagan Somashekar, Karan Tandon, Anush Kini, Chieh-Chun Chang, Petr Husak, Ranjita Bhagwan, Mayukh Das, Anshul Gandhi, Nagarajan Natarajan
NSDI 2024 | April 2024
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Optimal Regret Algorithm for Pseudo-1d Bandit Convex Optimization
Aadirupa Saha, Nagarajan Natarajan, Praneeth Netrapalli, Prateek Jain
2021 International Conference on Machine Learning | July 2021
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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
-
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
作者：Microsoft
-
Plan*RAG: Efficient Test-Time Planning for Retrieval Augmented Generation
Prakhar Verma, Sukruta Prakash Midigeshi, Gaurav Sinha, Arno Solin, Nagarajan Natarajan, Amit Sharma
ICLR 2025 - Workshop on Reasoning and Planning for LLMs | March 2025
-
Reward Copilot for RL-driven Systems Optimization
Karan Tandon, Manav Mishra, Gagan Somashekar, Mayukh Das, Nagarajan Natarajan
Advances in Neural Information Processing Systems 2024 - Workshop on ML For Systems | November 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
-
Provably Robust DPO: Aligning Language Models with Noisy Feedback
Sayak Ray Chowdhury, Anush Kini, Nagarajan Natarajan
ICML 2024 | May 2024
-
Differentially Private Reward Estimation with Preference Feedback
Sayak Ray Chowdhury, Xingyu Zhou, Nagarajan Natarajan
AISTATS | May 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
-
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
-
Combinatorial categorized bandits with expert rankings
Gaurav Sinha, Sayak Ray Chowdhury, Nagarajan Natarajan, Amit Sharma
UAI | July 2023
-
Simulating Network Paths with Recurrent Buffering Units
Divyam Anshumaan, Sriram Balasubramanian, Shubham Tiwari, Nagarajan Natarajan, Sundararajan Sellamanickam, Venkat Padmanabhan
The 37th AAAI Conference on Artificial Intelligence | February 2023
-
Learning Accurate Decision Trees with Bandit Feedback via Quantized Gradient Descent
[Guest] Ajaykrishna Karthikeyan (ajaykrishna-karthikeyan), Naman Jain, Nagarajan Natarajan, Prateek Jain
Transactions on Machine Learning Research | September 2022
-
Jigsaw: Large Language Models meet Program Synthesis
Naman Jain, Skanda Vaidyanath, Arun Iyer, Nagarajan Natarajan, Suresh Parthasarathy, Sriram Rajamani, Rahul Sharma
International Conference on Software Engineering (ICSE) | May 2022
-
Optimal Regret Algorithm for Pseudo-1d Bandit Convex Optimization
Aadirupa Saha, Nagarajan Natarajan, Praneeth Netrapalli, Prateek Jain
2021 International Conference on Machine Learning | July 2021
-
Programming by Rewards
Nagarajan Natarajan, Ajaykrishna Karthikeyan, Prateek Jain, Ivan Radicek, Sriram Rajamani, Sumit Gulwani, Johannes Gehrke
July 2020
-
OASIS: ILP-Guided Synthesis of Loop Invariants
Sahil Bhatia, Saswat Padhi, Nagarajan Natarajan, Rahul Sharma, Prateek Jain
November 2019
-
Distributional Semantics Meets Multi-Label Learning
Vivek Gupta, Rahul Wadbude, Nagarajan Natarajan, Harish Karnick, Prateek Jain, Piyush Rai
2019 National Conference on Artificial Intelligence | July 2019
-
Learning Natural Programs from a Few Examples in Real-Time
Nagarajan Natarajan, Danny Simmons, Naren Datha (narend), Prateek Jain, Sumit Gulwani
AIStats | January 2019
-
Learning from binary labels with instance-dependent noise
Aditya Krishna Menon, Brendan van Rooyen, Nagarajan Natarajan
Machine Learning | May 2018, 第 107 卷(8): pp. 1561-1595
-
Active Heteroscedastic Regression
Kamalika Chaudhuri, Prateek Jain, Nagarajan Natarajan
2017 International Conference on Machine Learning | July 2017
-
Consistency Analysis for Binary Classification Revisited
Krzysztof Dembczyński, Wojciech Kotłowski, Oluwasanmi Koyejo, Nagarajan Natarajan
2017 International Conference on Machine Learning | July 2017
-
Regret Bounds for Non-decomposable Metrics with Missing Labels
Nagarajan Natarajan, Prateek Jain
2016 Neural Information Processing Systems | December 2016
-
-
-
Reward Copilot for RL-driven Systems Optimization
Karan Tandon, Manav Mishra, Gagan Somashekar, Mayukh Das, Nagarajan Natarajan
Advances in Neural Information Processing Systems 2024 - Workshop on ML For Systems | November 2024
-
OPPerTune: Post-Deployment Configuration Tuning of Services Made Easy
Gagan Somashekar, Karan Tandon, Anush Kini, Chieh-Chun Chang, Petr Husak, Ranjita Bhagwan, Mayukh Das, Anshul Gandhi, Nagarajan Natarajan
NSDI 2024 | April 2024
-
Don’t Forget the User: It’s Time to Rethink Network Measurements
Rahul Bothra, Aryan Taneja, Debopam Bhattacherjee, Rohan Gandhi, Venkat Padmanabhan, Ranjita Bhagwan, Nagarajan Natarajan, Saikat Guha, Ross Cutler
ACM HotNets | November 2023
-
SelfTune: Tuning Cluster Managers
Ajaykrishna Karthikeyan, Nagarajan Natarajan, Gagan Somashekar, Lei Zhao, Ranjita Bhagwan, Rodrigo Fonseca, Tatiana Racheva, Yogesh Bansal
2023 Networked Systems Design and Implementation | April 2023
-
Simulating Network Paths with Recurrent Buffering Units
Divyam Anshumaan, Sriram Balasubramanian, Shubham Tiwari, Nagarajan Natarajan, Sundararajan Sellamanickam, Venkat Padmanabhan
The 37th AAAI Conference on Artificial Intelligence | February 2023
-
Data-Driven Network Path Simulation with iBox
Sachin Ashok, Shubham Tiwari, Nagarajan Natarajan, Venkat Padmanabhan, Sundararajan Sellamanickam
ACM SIGMETRICS | June 2022
-
-
-
NextCoder: Robust Adaptation of Code LMs to Diverse Code Edits
Tushar Aggarwal*, Swayam Singh*, Abhijeet Awasthi, Aditya Kanade, Nagarajan Natarajan
ICML 2025 | July 2025
-
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
作者：Microsoft
-
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
-
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
-
Learning Accurate Decision Trees with Bandit Feedback via Quantized Gradient Descent
[Guest] Ajaykrishna Karthikeyan (ajaykrishna-karthikeyan), Naman Jain, Nagarajan Natarajan, Prateek Jain
Transactions on Machine Learning Research | September 2022
-
Jigsaw: Large Language Models meet Program Synthesis
Naman Jain, Skanda Vaidyanath, Arun Iyer, Nagarajan Natarajan, Suresh Parthasarathy, Sriram Rajamani, Rahul Sharma
International Conference on Software Engineering (ICSE) | May 2022
-
Programming by Rewards
Nagarajan Natarajan, Ajaykrishna Karthikeyan, Prateek Jain, Ivan Radicek, Sriram Rajamani, Sumit Gulwani, Johannes Gehrke
July 2020
-
OASIS: ILP-Guided Synthesis of Loop Invariants
Sahil Bhatia, Saswat Padhi, Nagarajan Natarajan, Rahul Sharma, Prateek Jain
November 2019
-
Learning Natural Programs from a Few Examples in Real-Time
Nagarajan Natarajan, Danny Simmons, Naren Datha (narend), Prateek Jain, Sumit Gulwani
AIStats | January 2019
-
-
-
NextCoder: Robust Adaptation of Code LMs to Diverse Code Edits
Tushar Aggarwal*, Swayam Singh*, Abhijeet Awasthi, Aditya Kanade, Nagarajan Natarajan
ICML 2025 | July 2025
-
Plan*RAG: Efficient Test-Time Planning for Retrieval Augmented Generation
Prakhar Verma, Sukruta Prakash Midigeshi, Gaurav Sinha, Arno Solin, Nagarajan Natarajan, Amit Sharma
ICLR 2025 - Workshop on Reasoning and Planning for LLMs | March 2025
-
Reward Copilot for RL-driven Systems Optimization
Karan Tandon, Manav Mishra, Gagan Somashekar, Mayukh Das, Nagarajan Natarajan
Advances in Neural Information Processing Systems 2024 - Workshop on ML For Systems | November 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
-
Provably Robust DPO: Aligning Language Models with Noisy Feedback
Sayak Ray Chowdhury, Anush Kini, Nagarajan Natarajan
ICML 2024 | May 2024
-
Differentially Private Reward Estimation with Preference Feedback
Sayak Ray Chowdhury, Xingyu Zhou, Nagarajan Natarajan
AISTATS | May 2024
-
OPPerTune: Post-Deployment Configuration Tuning of Services Made Easy
Gagan Somashekar, Karan Tandon, Anush Kini, Chieh-Chun Chang, Petr Husak, Ranjita Bhagwan, Mayukh Das, Anshul Gandhi, Nagarajan Natarajan
NSDI 2024 | April 2024
-
Don’t Forget the User: It’s Time to Rethink Network Measurements
Rahul Bothra, Aryan Taneja, Debopam Bhattacherjee, Rohan Gandhi, Venkat Padmanabhan, Ranjita Bhagwan, Nagarajan Natarajan, Saikat Guha, Ross Cutler
ACM HotNets | November 2023
-
Combinatorial categorized bandits with expert rankings
Gaurav Sinha, Sayak Ray Chowdhury, Nagarajan Natarajan, Amit Sharma
UAI | July 2023
-
SelfTune: Tuning Cluster Managers
Ajaykrishna Karthikeyan, Nagarajan Natarajan, Gagan Somashekar, Lei Zhao, Ranjita Bhagwan, Rodrigo Fonseca, Tatiana Racheva, Yogesh Bansal
2023 Networked Systems Design and Implementation | April 2023
-
Simulating Network Paths with Recurrent Buffering Units
Divyam Anshumaan, Sriram Balasubramanian, Shubham Tiwari, Nagarajan Natarajan, Sundararajan Sellamanickam, Venkat Padmanabhan
The 37th AAAI Conference on Artificial Intelligence | February 2023
-
Data-Driven Network Path Simulation with iBox
Sachin Ashok, Shubham Tiwari, Nagarajan Natarajan, Venkat Padmanabhan, Sundararajan Sellamanickam
ACM SIGMETRICS | June 2022
-
Jigsaw: Large Language Models meet Program Synthesis
Naman Jain, Skanda Vaidyanath, Arun Iyer, Nagarajan Natarajan, Suresh Parthasarathy, Sriram Rajamani, Rahul Sharma
International Conference on Software Engineering (ICSE) | May 2022
-
Optimal Regret Algorithm for Pseudo-1d Bandit Convex Optimization
Aadirupa Saha, Nagarajan Natarajan, Praneeth Netrapalli, Prateek Jain
2021 International Conference on Machine Learning | July 2021
-
Distributional Semantics Meets Multi-Label Learning
Vivek Gupta, Rahul Wadbude, Nagarajan Natarajan, Harish Karnick, Prateek Jain, Piyush Rai
2019 National Conference on Artificial Intelligence | July 2019
-
Learning Natural Programs from a Few Examples in Real-Time
Nagarajan Natarajan, Danny Simmons, Naren Datha (narend), Prateek Jain, Sumit Gulwani
AIStats | January 2019
-
Active Heteroscedastic Regression
Kamalika Chaudhuri, Prateek Jain, Nagarajan Natarajan
2017 International Conference on Machine Learning | July 2017
-
Consistency Analysis for Binary Classification Revisited
Krzysztof Dembczyński, Wojciech Kotłowski, Oluwasanmi Koyejo, Nagarajan Natarajan
2017 International Conference on Machine Learning | July 2017
-
Regret Bounds for Non-decomposable Metrics with Missing Labels
Nagarajan Natarajan, Prateek Jain
2016 Neural Information Processing Systems | December 2016
-
-
-
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
作者：Microsoft
-
-
-
NoFunEval: Funny How Code LMs Falter on Requirements Beyond Functional Correctness
Manav Singhal, Tushar Aggarwal, Abhijeet Awasthi, Nagarajan Natarajan, Aditya Kanade
February 2024
Preprint
-
OASIS: ILP-Guided Synthesis of Loop Invariants
Sahil Bhatia, Saswat Padhi, Nagarajan Natarajan, Rahul Sharma, Prateek Jain
November 2019
-
-
-
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
-
Programming by Rewards
Nagarajan Natarajan, Ajaykrishna Karthikeyan, Prateek Jain, Ivan Radicek, Sriram Rajamani, Sumit Gulwani, Johannes Gehrke
July 2020
-
-
-
Learning Accurate Decision Trees with Bandit Feedback via Quantized Gradient Descent
[Guest] Ajaykrishna Karthikeyan (ajaykrishna-karthikeyan), Naman Jain, Nagarajan Natarajan, Prateek Jain
Transactions on Machine Learning Research | September 2022
-
Learning from binary labels with instance-dependent noise
Aditya Krishna Menon, Brendan van Rooyen, Nagarajan Natarajan
Machine Learning | May 2018, 第 107 卷(8): pp. 1561-1595
-