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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
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