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

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

4 March 2024
Giacomo Frisoni
Alessio Cocchieri
Alex Presepi
Gianluca Moro
Zaiqiao Meng
    RALM
    MedIm
ArXivPDFHTML

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

9 / 9 papers shown
Title
Step-by-Step Fact Verification System for Medical Claims with Explainable Reasoning
Step-by-Step Fact Verification System for Medical Claims with Explainable Reasoning
Juraj Vladika
Ivana Hacajová
Florian Matthes
LRM
95
0
0
21 Feb 2025
Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy
Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy
Rishabh Uapadhyay
Marco Viviani
69
0
0
07 Feb 2025
UMass-BioNLP at MEDIQA-M3G 2024: DermPrompt -- A Systematic Exploration
  of Prompt Engineering with GPT-4V for Dermatological Diagnosis
UMass-BioNLP at MEDIQA-M3G 2024: DermPrompt -- A Systematic Exploration of Prompt Engineering with GPT-4V for Dermatological Diagnosis
Parth Vashisht
Abhilasha Lodha
Mukta Maddipatla
Zonghai Yao
Avijit Mitra
Zhichao Yang
Junda Wang
Sunjae Kwon
Hong-ye Yu
LM&MA
28
1
0
27 Apr 2024
BioMistral: A Collection of Open-Source Pretrained Large Language Models
  for Medical Domains
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
105
191
0
15 Feb 2024
Leveraging Large Language Models for Multiple Choice Question Answering
Leveraging Large Language Models for Multiple Choice Question Answering
Joshua Robinson
Christopher Rytting
David Wingate
ELM
143
186
0
22 Oct 2022
Generate rather than Retrieve: Large Language Models are Strong Context
  Generators
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 Jiang
RALM
AIMat
229
321
0
21 Sep 2022
What Makes Good In-Context Examples for GPT-$3$?
What Makes Good In-Context Examples for GPT-333?
Jiachang Liu
Dinghan Shen
Yizhe Zhang
Bill Dolan
Lawrence Carin
Weizhu Chen
AAML
RALM
275
1,312
0
17 Jan 2021
Retrieving and Reading: A Comprehensive Survey on Open-domain Question
  Answering
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
213
251
0
04 Jan 2021
Scaling Laws for Neural Language Models
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
243
4,469
0
23 Jan 2020
1