all AI news
Combining Hierachical VAEs with LLMs for clinically meaningful timeline summarisation in social media
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
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
More from arxiv.org / cs.CL updates on arXiv.org
Jobs in AI, ML, Big Data
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