5 citations · 8 across the 11 of their papers we have counts for
4 papers · 1 filter
Evaluating the Effectiveness and Efficiency of Demonstration Retrievers in RAG for Coding Tasks
Pengfei He, Shaowei Wang, Shaiful Chowdhury +1
Retrieval-Augmented Generation (RAG) enhances Large Language Models (LLMs) by integrating external knowledge bases, achieving state-of-the-art results in various coding tasks. The…
A Comprehensive Framework for Evaluating API-oriented Code Generation in Large Language Models
Yixi Wu, Pengfei He, Zehao Wang +3
Large language models (LLMs) like GitHub Copilot and ChatGPT have emerged as powerful tools for code generation, significantly enhancing productivity and accelerating software deve…
ZS4C: Zero-Shot Synthesis of Compilable Code for Incomplete Code Snippets using LLMs
Azmain Kabir, Shaowei Wang, Yuan Tian +3
Technical Q&A sites are valuable for software developers seeking knowledge, but the code snippets they provide are often uncompilable and incomplete due to unresolved types and mis…
Studying and Recommending Information Highlighting in Stack Overflow Answers
Shahla Shaan Ahmed, Shaowei Wang, Yuan Tian +3
Context: Navigating the knowledge of Stack Overflow (SO) remains challenging. To make the posts vivid to users, SO allows users to write and edit posts with Markdown or HTML so tha…