10 papers
Responsible Evaluation of AI for Mental Health
Hiba Arnaout, Anmol Goel, H. Andrew Schwartz +13
Although artificial intelligence (AI) shows growing promise for mental health care, current approaches to evaluating AI tools in this domain remain fragmented and poorly aligned wi…
ClinQueryAgent: A Conversational Agent for Population Health Management
Joseph S. Boyle, Anthony Dranfield, Mike O'Neil +2
In this paper we introduce ClinQueryAgent, a system for translating natural language population health questions into executable database queries using agents with access to both l…
LiFT: How to Enable In-Context Learning for Longitudinal Modelling
Iqra Ali, Talia Tseriotou, Mahmud Elahi Akhter +2
Longitudinal NLP tasks such as mental health monitoring and stance evolution require modeling temporally ordered text to track persistence and detect change. Such tasks also suffer…
Automated Data Enrichment using Confidence-Aware Fine-Grained Debate among Open-Source LLMs for Mental Health and Online Safety
Junyu Mao, Anthony Hills, Talia Tseriotou +10
Real-world indicators play an important role in many Natural Language Processing (NLP) applications, such as life events for mental health analysis and risky behaviours for online…
Investigating LLM Capabilities on Long Context Comprehension for Medical Question Answering
Feras AlMannaa, Talia Tseriotou, Jenny Chim +1
This study is the first to investigate LLM comprehension capabilities over long-context (LC), clinically relevant medical Question Answering (QA) beyond MCQA. Our comprehensive app…
Temporal reasoning for timeline summarisation in social media
Jiayu Song, Mahmud Elahi Akhter, Dana Atzil Slonim +1
This paper explores whether enhancing temporal reasoning capabilities in Large Language Models (LLMs) can improve the quality of timeline summarisation, the task of summarising lon…