Feb. 19, 2024, 5:48 a.m. | Jiayu Song, Jenny Chim, Adam Tsakalidis, Julia Ive, Dana Atzil-Slonim, Maria Liakata

cs.CL updates on arXiv.org arxiv.org

arXiv:2401.16240v2 Announce Type: replace
Abstract: We introduce a hybrid abstractive summarisation approach combining hierarchical VAE with LLMs (LlaMA-2) to produce clinically meaningful summaries from social media user timelines, appropriate for mental health monitoring. The summaries combine two different narrative points of view: clinical insights in third person useful for a clinician are generated by feeding into an LLM specialised clinical prompts, and importantly, a temporally sensitive abstractive summary of the user's timeline in first person, generated by a novel hierarchical …

abstract arxiv clinical cs.ai cs.cl health hierarchical hybrid insights llama llms media mental health monitoring narrative person social social media timeline type vae view

ML/AI Engineer / NLP Expert - Custom LLM Development (x/f/m)

@ HelloBetter | Remote

Doctoral Researcher (m/f/div) in Automated Processing of Bioimages

@ Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI) | Jena

Seeking Developers and Engineers for AI T-Shirt Generator Project

@ Chevon Hicks | Remote

Security Data Engineer

@ ASML | Veldhoven, Building 08, Netherlands

Data Engineer

@ Parsons Corporation | Pune - Business Bay

Data Engineer

@ Parsons Corporation | Bengaluru, Velankani Tech Park