Feb. 22, 2024, 5:47 a.m. | Zheheng Luo, Qianqian Xie, Sophia Ananiadou

cs.CL updates on arXiv.org arxiv.org

arXiv:2402.13498v1 Announce Type: new
Abstract: Automated lay summarisation (LS) aims to simplify complex technical documents into a more accessible format to non-experts. Existing approaches using pre-trained language models, possibly augmented with external background knowledge, tend to struggle with effective simplification and explanation. Moreover, automated methods that can effectively assess the `layness' of generated summaries are lacking. Recently, large language models (LLMs) have demonstrated a remarkable capacity for text simplification, background information generation, and text evaluation. This has motivated our systematic …

abstract arxiv automated biomedicine cs.cl documents experts format guide knowledge language language models large language large language models person struggle technical type

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