activity
20122026
most citedLearning and Evaluating Contextual Embedding of Source Code

155 citations · 309 across the 27 of their papers we have counts for

collaborators
Showing 2023Show all

6 papers · 1 filter

cs.AI2023★ 3 cited

Frustrated with Code Quality Issues? LLMs can Help!

Nalin Wadhwa, Jui Pradhan, Atharv Sonwane +5

As software projects progress, quality of code assumes paramount importance as it affects reliability, maintainability and security of software. For this reason, static analysis to…

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.CL2023★ 6 cited

Guiding Language Models of Code with Global Context using Monitors

Lakshya A Agrawal, Aditya Kanade, Navin Goyal +2

Language models of code (LMs) work well when the surrounding code provides sufficient context. This is not true when it becomes necessary to use types, functionality or APIs define…

cs.SE2023

GrACE: Generation using Associated Code Edits

Priyanshu Gupta, Avishree Khare, Yasharth Bajpai +6

Developers expend a significant amount of time in editing code for a variety of reasons such as bug fixing or adding new features. Designing effective methods to predict code edits…

cs.PL2023

FLAME: A small language model for spreadsheet formulas

Harshit Joshi, Abishai Ebenezer, José Cambronero +5

Spreadsheets are a vital tool for end-user data management. Using large language models for formula authoring assistance in these environments can be difficult, as these models are…