Large language models for software engineering: A systematic literature review
Large Language Models (LLMs) have significantly impacted numerous domains, including
Software Engineering (SE). Many recent publications have explored LLMs applied to …
Software Engineering (SE). Many recent publications have explored LLMs applied to …
[HTML][HTML] Generative ai for visualization: State of the art and future directions
Generative AI (GenAI) has witnessed remarkable progress in recent years and
demonstrated impressive performance in various generation tasks in different domains such …
demonstrated impressive performance in various generation tasks in different domains such …
Coprompt: Supporting prompt sharing and referring in collaborative natural language programming
Natural language (NL) programming has become more approachable due to the powerful
code-generation capability of large language models (LLMs). This shift to using NL to …
code-generation capability of large language models (LLMs). This shift to using NL to …
Improving Steering and Verification in AI-Assisted Data Analysis with Interactive Task Decomposition
LLM-powered tools like ChatGPT Data Analysis, have the potential to help users tackle the
challenging task of data analysis programming, which requires expertise in data processing …
challenging task of data analysis programming, which requires expertise in data processing …
An Empirical Study on Low Code Programming using Traditional vs Large Language Model Support
Low-code programming (LCP) refers to programming using models at higher levels of
abstraction, resulting in less manual and more efficient programming, and reduced learning …
abstraction, resulting in less manual and more efficient programming, and reduced learning …
SPROUT: an Interactive Authoring Tool for Generating Programming Tutorials with the Visualization of Large Language Models
The rapid development of large language models (LLMs), such as ChatGPT, has
revolutionized the efficiency of creating programming tutorials. LLMs can be instructed with …
revolutionized the efficiency of creating programming tutorials. LLMs can be instructed with …
Traceable Text: Deepening Reading of AI-Generated Summaries with Phrase-Level Provenance Links
H Kambhamettu, J Flores, A Head - arXiv preprint arXiv:2409.13099, 2024 - arxiv.org
As AI-generated summaries proliferate, how can we help people understand the veracity of
those summaries? In this short paper, we design a simple interaction primitive, traceable …
those summaries? In this short paper, we design a simple interaction primitive, traceable …
A Study on Developer Behaviors for Validating and Repairing LLM-Generated Code Using Eye Tracking and IDE Actions
The increasing use of large language model (LLM)-powered code generation tools, such as
GitHub Copilot, is transforming software engineering practices. This paper investigates how …
GitHub Copilot, is transforming software engineering practices. This paper investigates how …
Sketch Then Generate: Providing Incremental User Feedback and Guiding LLM Code Generation through Language-Oriented Code Sketches
Crafting effective prompts for code generation or editing with Large Language Models
(LLMs) is not an easy task. Particularly, the absence of immediate, stable feedback during …
(LLMs) is not an easy task. Particularly, the absence of immediate, stable feedback during …
To Search or To Gen? Exploring the Synergy between Generative AI and Web Search in Programming
The convergence of generative AI and web search is reshaping problem-solving for
programmers. However, the lack of understanding regarding their interplay in the …
programmers. However, the lack of understanding regarding their interplay in the …