2 citations · 5 across the 7 of their papers we have counts for
5 papers · 1 filter
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 +8
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…
Tailored Emotional LLM-Supporter: Enhancing Cultural Sensitivity
Chen Cecilia Liu, Hiba Arnaout, Nils Kovačić +2
Large language models (LLMs) show promise in offering emotional support and generating empathetic responses for individuals in distress, but their ability to deliver culturally sen…
Enhancing Depression Detection via Question-wise Modality Fusion
Aishik Mandal, Dana Atzil-Slonim, Thamar Solorio +1
Depression is a highly prevalent and disabling condition that incurs substantial personal and societal costs. Current depression diagnosis involves determining the depression sever…
Combining Hierachical VAEs with LLMs for clinically meaningful timeline summarisation in social media
Jiayu Song, Jenny Chim, Adam Tsakalidis +3
We introduce a hybrid abstractive summarisation approach combining hierarchical VAE with LLMs (LlaMA-2) to produce clinically meaningful summaries from social media user timelines,…
NLP meets psychotherapy: Using predicted client emotions and self-reported client emotions to measure emotional coherence
Neha Warikoo, Tobias Mayer, Dana Atzil-Slonim +3
Emotions are experienced and expressed through various response systems. Coherence between emotional experience and emotional expression is considered important to clients' well be…