251 citations · 414 across the 18 of their papers we have counts for
18 papers
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…
Effect of emotions and personalisation on cancer website reuse intentions
Suncica Hadzidedic, Alexandra I. Cristea, Derrick G. Watson
The effect of emotions and personalisation on continuance use intentions in online health services is underexplored. Accordingly, we propose a research model for examining the impa…
Language as a Latent Sequence: deep latent variable models for semi-supervised paraphrase generation
Jialin Yu, Alexandra I. Cristea, Anoushka Harit +4
This paper explores deep latent variable models for semi-supervised paraphrase generation, where the missing target pair for unlabelled data is modelled as a latent paraphrase sequ…
Multi-task Learning for Personal Health Mention Detection on Social Media
Olanrewaju Tahir Aduragba, Jialin Yu, Alexandra I. Cristea
Detecting personal health mentions on social media is essential to complement existing health surveillance systems. However, annotating data for detecting health mentions at a larg…
Incorporating Emotions into Health Mention Classification Task on Social Media
Olanrewaju Tahir Aduragba, Jialin Yu, Alexandra I. Cristea
The health mention classification (HMC) task is the process of identifying and classifying mentions of health-related concepts in text. This can be useful for identifying and track…
INTERACTION: A Generative XAI Framework for Natural Language Inference Explanations
Jialin Yu, Alexandra I. Cristea, Anoushka Harit +4
XAI with natural language processing aims to produce human-readable explanations as evidence for AI decision-making, which addresses explainability and transparency. However, from…