Class-Level Code Generation from Natural Language Using Iterative, Tool-Enhanced Reasoning over Repository

no code implementations • 22 Apr 2024 • Ajinkya Deshpande, Anmol Agarwal, Shashank Shet, Arun Iyer, Aditya Kanade, Ramakrishna Bairi, Suresh Parthasarathy

To address this gap, we introduce RepoClassBench, a comprehensive benchmark designed to rigorously evaluate LLMs in generating complex, class-level code within real-world repositories.

Class-level Code Generation Navigate

Frustrated with Code Quality Issues? LLMs can Help!

no code implementations • 22 Sep 2023 • Nalin Wadhwa, Jui Pradhan, Atharv Sonwane, Surya Prakash Sahu, Nagarajan Natarajan, Aditya Kanade, Suresh Parthasarathy, Sriram Rajamani

We present a tool, CORE (short for COde REvisions), architected using a pair of LLMs organized as a duo comprised of a proposer and a ranker.

Instruction Following Program Repair

Landmarks and Regions: A Robust Approach to Data Extraction

no code implementations • 11 Apr 2022 • Suresh Parthasarathy, Lincy Pattanaik, Anirudh Khatry, Arun Iyer, Arjun Radhakrishna, Sriram Rajamani, Mohammad Raza

We propose a new approach to extracting data items or field values from semi-structured documents.

Program Synthesis