To Generate or to Retrieve? On the Effectiveness of Artificial Contexts for Medical Open-Domain Question Answering

4 March 2024

Papers citing "To Generate or to Retrieve? On the Effectiveness of Artificial Contexts for Medical Open-Domain Question Answering"

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 65 135 0 15 Feb 2024
Leveraging Large Language Models for Multiple Choice Question Answering Joshua Robinson Christopher Rytting David Wingate ELM 95 137 0 22 Oct 2022
Generate rather than Retrieve: Large Language Models are Strong Context Generators W. Yu Dan Iter Shuohang Wang Yichong Xu Mingxuan Ju Soumya Sanyal Chenguang Zhu Michael Zeng Meng-Long Jiang RALM AIMat 202 239 0 21 Sep 2022
What Makes Good In-Context Examples for GPT- $3$ ? Jiachang Liu Dinghan Shen Yizhe Zhang Bill Dolan Lawrence Carin Weizhu Chen AAML RALM 260 991 0 17 Jan 2021
Retrieving and Reading: A Comprehensive Survey on Open-domain Question Answering Fengbin Zhu Wenqiang Lei Chao Wang Jianming Zheng Soujanya Poria Tat-Seng Chua RALM 188 214 0 04 Jan 2021
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 215 3,054 0 23 Jan 2020