131 citations · 194 across the 7 of their papers we have counts for
7 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…
Aligning Crowd-sourced Human Feedback for Reinforcement Learning on Code Generation by Large Language Models
Man Fai Wong, Chee Wei Tan
This paper studies how AI-assisted programming and large language models (LLM) improve software developers' ability via AI tools (LLM agents) like Github Copilot and Amazon CodeWhi…
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…
Large Language Model-Driven Classroom Flipping: Empowering Student-Centric Peer Questioning with Flipped Interaction
Chee Wei Tan
Reciprocal questioning is essential for effective teaching and learning, fostering active engagement and deeper understanding through collaborative interactions, especially in larg…
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…
EuclidNet: Deep Visual Reasoning for Constructible Problems in Geometry
Man Fai Wong, Xintong Qi, Chee Wei Tan
In this paper, we present a deep learning-based framework for solving geometric construction problems through visual reasoning, which is useful for automated geometry theorem provi…