Retrieve, Generate, Evaluate: A Case Study for Medical Paraphrases Generation with Small Language Models

23 July 2024

Papers citing "Retrieve, Generate, Evaluate: A Case Study for Medical Paraphrases Generation with Small Language Models"

6 / 6 papers shown

Title
BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical Domains Yanis Labrak Adrien Bazoge Emmanuel Morin P. Gourraud Mickael Rouvier Richard Dufour 96 191 0 15 Feb 2024
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Akari Asai Zeqiu Wu Yizhong Wang Avirup Sil Hannaneh Hajishirzi RALM 147 621 0 17 Oct 2023
Can ChatGPT Replace Traditional KBQA Models? An In-depth Analysis of the Question Answering Performance of the GPT LLM Family Yiming Tan Dehai Min Y. Li Wenbo Li Nan Hu Yongrui Chen Guilin Qi AI4MH ELM 47 93 0 14 Mar 2023
Almanac: Retrieval-Augmented Language Models for Clinical Medicine C. Zakka Akash Chaurasia R. Shad Alex R. Dalal Jennifer L. Kim ... Kathleen Boyd Karen Hirsch C. Langlotz Joanna Nelson W. Hiesinger LM&MA 94 142 0 01 Mar 2023
ChatGPT Makes Medicine Easy to Swallow: An Exploratory Case Study on Simplified Radiology Reports Katharina Jeblick B. Schachtner Jakob Dexl Andreas Mittermeier Anna Theresa Stüber ... Tobias Weber Philipp Wesp B. Sabel J. Ricke Michael Ingrisch LM&MA MedIm 103 369 0 30 Dec 2022
BARThez: a Skilled Pretrained French Sequence-to-Sequence Model Moussa Kamal Eddine A. Tixier Michalis Vazirgiannis BDL 101 64 0 23 Oct 2020