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A Pipeline for Generating, Annotating and Employing Synthetic Data for
  Real World Question Answering

A Pipeline for Generating, Annotating and Employing Synthetic Data for Real World Question Answering

30 November 2022
Matthew Maufe
James Ravenscroft
Rob Procter
Maria Liakata
ArXivPDFHTML

Papers citing "A Pipeline for Generating, Annotating and Employing Synthetic Data for Real World Question Answering"

4 / 4 papers shown
Title
Synthetic Data Generation Using Large Language Models: Advances in Text and Code
Synthetic Data Generation Using Large Language Models: Advances in Text and Code
Mihai Nadas
Laura Diosan
Andreea Tomescu
SyDa
72
0
0
18 Mar 2025
A Study on Training and Developing Large Language Models for Behavior
  Tree Generation
A Study on Training and Developing Large Language Models for Behavior Tree Generation
Fu Li
Xueying Wang
Bin Li
Yunlong Wu
Yanzhen Wang
Xiaodong Yi
14
4
0
16 Jan 2024
Asking Questions Like Educational Experts: Automatically Generating
  Question-Answer Pairs on Real-World Examination Data
Asking Questions Like Educational Experts: Automatically Generating Question-Answer Pairs on Real-World Examination Data
Fanyi Qu
Xin Jia
Yunfang Wu
AI4Ed
91
24
0
11 Sep 2021
SMOTE: Synthetic Minority Over-sampling Technique
SMOTE: Synthetic Minority Over-sampling Technique
Nitesh V. Chawla
Kevin W. Bowyer
Lawrence Hall
W. Kegelmeyer
AI4TS
163
25,256
0
09 Jun 2011
1