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20212024
most citedCodePlan: Repository-level Coding using LLMs and Planning

3 citations · 12 across the 7 of their papers we have counts for

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5 papers · 1 filter

cs.SE2024★ 2 cited

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

Ajinkya Deshpande, Anmol Agarwal, Shashank Shet +4

LLMs have demonstrated significant potential in code generation tasks, achieving promising results at the function or statement level across various benchmarks. However, the comple…

cs.SE2023★ 3 cited

CodePlan: Repository-level Coding using LLMs and Planning

Ramakrishna Bairi, Atharv Sonwane, Aditya Kanade +6

Software engineering activities such as package migration, fixing errors reports from static analysis or testing, and adding type annotations or other specifications to a codebase,…

cs.SE2023

StaticFixer: From Static Analysis to Static Repair

Naman Jain, Shubham Gandhi, Atharv Sonwane +5

Static analysis tools are traditionally used to detect and flag programs that violate properties. We show that static analysis tools can also be used to perturb programs that satis…

cs.SE2022

Landmarks and Regions: A Robust Approach to Data Extraction

Suresh Parthasarathy, Lincy Pattanaik, Anirudh Khatry +4

We propose a new approach to extracting data items or field values from semi-structured documents. Examples of such problems include extracting passenger name, departure time and d…

cs.SE2021★ 3 cited

Jigsaw: Large Language Models meet Program Synthesis

Naman Jain, Skanda Vaidyanath, Arun Iyer +4

Large pre-trained language models such as GPT-3, Codex, and Google's language model are now capable of generating code from natural language specifications of programmer intent. We…