AI-Driven Software Engineering

Using AI to assist every developer build better software faster

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자료 보기:

- 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
  
  Publication
- Welding Natural Language Queries to Analytics IRs with LLMs
  
  Kaushik Rajan, Aseem Rastogi, Akash Lal, Sampath Rajendra, Krithika Subramanian, Krut Patel
  
  (To appear in) International Conference on Innovative Data Systems | January 2024
  
  Preprint 프로젝트
- 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
- Fixing Rust Compilation Errors using LLMs
  
  Pantazis Deligiannis, Akash Lal, Nikita Mehrotra, Aseem Rastogi
  
  2308.05177 | October 2023
  
  글쓴이 arxiv
  
  Publication
- Cell2Doc: ML Pipeline for Generating Documentation in Computational Notebooks
  
  Tamal Mondal, Scott Barnett, Akash Lal, Jyothi Vedurada
  
  2023 Automated Software Engineering | September 2023
  
  Publication
- 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
- PwR: Exploring the Role of Representations in Conversational Programming
  
  Pradyumna YM, Vinod Ganesan, Dinesh Kumar Arumugam, Meghna Gupta, Nischith Shadagopan, Tanay Dixit, Sameer Segal, Pratyush Kumar, Mohit Jain, Sriram Rajamani
  
  September 2023
  
  Preprint Github 프로젝트
- 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

- 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
  
  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
- 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
- PwR: Exploring the Role of Representations in Conversational Programming
  
  Pradyumna YM, Vinod Ganesan, Dinesh Kumar Arumugam, Meghna Gupta, Nischith Shadagopan, Tanay Dixit, Sameer Segal, Pratyush Kumar, Mohit Jain, Sriram Rajamani
  
  September 2023
  
  Preprint Github 프로젝트
- 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
- 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
  
  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
- Fixing Rust Compilation Errors using LLMs
  
  Pantazis Deligiannis, Akash Lal, Nikita Mehrotra, Aseem Rastogi
  
  2308.05177 | October 2023
  
  글쓴이 arxiv
  
  Publication
- Cell2Doc: ML Pipeline for Generating Documentation in Computational Notebooks
  
  Tamal Mondal, Scott Barnett, Akash Lal, Jyothi Vedurada
  
  2023 Automated Software Engineering | September 2023
  
  Publication
- 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
- PwR: Exploring the Role of Representations in Conversational Programming
  
  Pradyumna YM, Vinod Ganesan, Dinesh Kumar Arumugam, Meghna Gupta, Nischith Shadagopan, Tanay Dixit, Sameer Segal, Pratyush Kumar, Mohit Jain, Sriram Rajamani
  
  September 2023
  
  Preprint Github 프로젝트
- 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
- Welding Natural Language Queries to Analytics IRs with LLMs
  
  Kaushik Rajan, Aseem Rastogi, Akash Lal, Sampath Rajendra, Krithika Subramanian, Krut Patel
  
  (To appear in) International Conference on Innovative Data Systems | January 2024
  
  Preprint 프로젝트
- PwR: Exploring the Role of Representations in Conversational Programming
  
  Pradyumna YM, Vinod Ganesan, Dinesh Kumar Arumugam, Meghna Gupta, Nischith Shadagopan, Tanay Dixit, Sameer Segal, Pratyush Kumar, Mohit Jain, Sriram Rajamani
  
  September 2023
  
  Preprint Github 프로젝트

- 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
  
  Publication
- Welding Natural Language Queries to Analytics IRs with LLMs
  
  Kaushik Rajan, Aseem Rastogi, Akash Lal, Sampath Rajendra, Krithika Subramanian, Krut Patel
  
  (To appear in) International Conference on Innovative Data Systems | January 2024
  
  Preprint 프로젝트
- 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
- Cell2Doc: ML Pipeline for Generating Documentation in Computational Notebooks
  
  Tamal Mondal, Scott Barnett, Akash Lal, Jyothi Vedurada
  
  2023 Automated Software Engineering | September 2023
  
  Publication
- 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
- 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
- PwR: Exploring the Role of Representations in Conversational Programming
  
  Pradyumna YM, Vinod Ganesan, Dinesh Kumar Arumugam, Meghna Gupta, Nischith Shadagopan, Tanay Dixit, Sameer Segal, Pratyush Kumar, Mohit Jain, Sriram Rajamani
  
  September 2023
  
  Preprint Github 프로젝트
- Fixing Rust Compilation Errors using LLMs
  
  Pantazis Deligiannis, Akash Lal, Nikita Mehrotra, Aseem Rastogi
  
  2308.05177 | October 2023
  
  글쓴이 arxiv
  
  Publication