2 citations · 2 across the 5 of their papers we have counts for
6 papers
Agentic-Priors: Using Large Language Models to Address the Cold Start Problem in Preference Elicitation
Bruno Arcanjo, Zhaoxing Li, Sebastian Stein
An agent that learns a user's preferences from their choices faces a cold start problem: before any choices are observed, it must rely solely on a prior. Informative priors are usu…
AdaHome: An Adaptive Smart Home Assistant using Local Small Language Models
Eu Jin Lim, Zhaoxing Li, Sebastian Stein
Smart home assistants interpret a wide range of user commands, from explicit device control to underspecified and preference dependent requests. While recent systems based on Large…
Analysing Knowledge Construction in Online Learning: Adapting the Interaction Analysis Model for Unstructured Large-Scale Discourse
Jindi Wang, Yidi Zhang, Zhaoxing Li +4
The rapid expansion of online courses and social media has generated large volumes of unstructured learner-generated text. Understanding how learners construct knowledge in these s…
HMCF: A Human-in-the-loop Multi-Robot Collaboration Framework Based on Large Language Models
Zhaoxing Li, Wenbo Wu, Yue Wang +3
Rapid advancements in artificial intelligence (AI) have enabled robots to performcomplex tasks autonomously with increasing precision. However, multi-robot systems (MRSs) face chal…
TutorLLM: Customizing Learning Recommendations with Knowledge Tracing and Retrieval-Augmented Generation
Zhaoxing Li, Vahid Yazdanpanah, Jindi Wang +5
The integration of AI in education offers significant potential to enhance learning efficiency. Large Language Models (LLMs), such as ChatGPT, Gemini, and Llama, allow students to…
Integrating LSTM and BERT for Long-Sequence Data Analysis in Intelligent Tutoring Systems
Zhaoxing Li, Jujie Yang, Jindi Wang +2
The field of Knowledge Tracing aims to understand how students learn and master knowledge over time by analyzing their historical behaviour data. To achieve this goal, many researc…