20 citations · 37 across the 5 of their papers we have counts for
5 papers
CodeInsight: A Curated Dataset of Practical Coding Solutions from Stack Overflow
Nathanaël Beau, Benoît Crabbé
We introduce a novel dataset tailored for code generation, aimed at aiding developers in common tasks. Our dataset provides examples that include a clarified intent, code snippets…
Copilot Evaluation Harness: Evaluating LLM-Guided Software Programming
Anisha Agarwal, Aaron Chan, Shubham Chandel +6
The integration of Large Language Models (LLMs) into Development Environments (IDEs) has become a focal point in modern software development. LLMs such as OpenAI GPT-3.5/4 and Code…
Predicting Code Coverage without Execution
Michele Tufano, Shubham Chandel, Anisha Agarwal +2
Code coverage is a widely used metric for quantifying the extent to which program elements, such as statements or branches, are executed during testing. Calculating code coverage i…
LAHM : Large Annotated Dataset for Multi-Domain and Multilingual Hate Speech Identification
Ankit Yadav, Shubham Chandel, Sushant Chatufale +1
Current research on hate speech analysis is typically oriented towards monolingual and single classification tasks. In this paper, we present a new multilingual hate speech analysi…
Training and Evaluating a Jupyter Notebook Data Science Assistant
Shubham Chandel, Colin B. Clement, Guillermo Serrato +1
We study the feasibility of a Data Science assistant powered by a sequence-to-sequence transformer by training a new model JuPyT5 on all publicly available Jupyter Notebook GitHub…