9 papers
SafeLLM: Extraction as a Hallucination-Resistant Alternative to Rewriting in Safety-Critical Settings
Julia Ive, Felix Jozsa, Evridiki Georgaki +6
Large language models (LLMs) are increasingly used to access organisational documentation, including standard operating procedures (SOPs), HR policies and institutional guidelines.…
Context-Emotion Aware Therapeutic Dialogue Generation: A Multi-component Reinforcement Learning Approach to Language Models for Mental Health Support
Eric Hua Qing Zhang, Julia Ive
Mental health disorders impose a substantial global socioeconomic burden. While large language models (LLMs) offer 24/7, non-judgmental interactions to address this gap, pretrained…
Development and Evaluation of HopeBot: an LLM-based chatbot for structured and interactive PHQ-9 depression screening
Zhijun Guo, Alvina Lai, Julia Ive +5
Static tools like the Patient Health Questionnaire-9 (PHQ-9) effectively screen depression but lack interactivity and adaptability. We developed HopeBot, a chatbot powered by a lar…
Building a Silver-Standard Dataset from NICE Guidelines for Clinical LLMs
Qing Ding, Eric Hua Qing Zhang, Felix Jozsa +1
Large language models (LLMs) are increasingly used in healthcare, yet standardised benchmarks for evaluating guideline-based clinical reasoning are missing. This study introduces a…
Privacy-Preserving Behaviour of Chatbot Users: Steering Through Trust Dynamics
Julia Ive, Vishal Yadav, Mariia Ignashina +2
Introduction: The use of chatbots is becoming increasingly important across various aspects of daily life. However, the privacy concerns associated with these communications have n…
Clean & Clear: Feasibility of Safe LLM Clinical Guidance
Julia Ive, Felix Jozsa, Nick Jackson +3
Background: Clinical guidelines are central to safe evidence-based medicine in modern healthcare, providing diagnostic criteria, treatment options and monitoring advice for a wide…