131 citations · 173 across the 5 of their papers we have counts for
5 papers
Nemobot Games: Crafting Strategic AI Gaming Agents for Interactive Learning with Large Language Models
Chee Wei Tan, Yuchen Wang, Shangxin Guo
This paper introduces a new paradigm for AI game programming, leveraging large language models (LLMs) to extend and operationalize Claude Shannon's taxonomy of game-playing machine…
From Code Generation to Software Testing: AI Copilot with Context-Based RAG
Yuchen Wang, Shangxin Guo, Chee Wei Tan
The rapid pace of large-scale software development places increasing demands on traditional testing methodologies, often leading to bottlenecks in efficiency, accuracy, and coverag…
Contextual Augmented Multi-Model Programming (CAMP): A Hybrid Local-Cloud Copilot Framework
Yuchen Wang, Shangxin Guo, Chee Wei Tan
The advancements in cloud-based Large Languages Models (LLMs) have revolutionized AI-assisted programming. However, their integration into certain local development environments li…
Copilot for Xcode: Exploring AI-Assisted Programming by Prompting Cloud-based Large Language Models
Chee Wei Tan, Shangxin Guo, Man Fai Wong +1
This paper presents an AI-assisted programming tool called Copilot for Xcode for program composition and design to support human software developers. By seamlessly integrating clou…
Natural Language Generation and Understanding of Big Code for AI-Assisted Programming: A Review
Man Fai Wong, Shangxin Guo, Ching Nam Hang +2
This paper provides a comprehensive review of the literature concerning the utilization of Natural Language Processing (NLP) techniques, with a particular focus on transformer-base…