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Position: Insights from Survey Methodology can Improve Training Data

Position: Insights from Survey Methodology can Improve Training Data

2 March 2024
Stephanie Eckman
Barbara Plank
Frauke Kreuter
    SyDa
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Papers citing "Position: Insights from Survey Methodology can Improve Training Data"

5 / 5 papers shown
Title
Correcting Annotator Bias in Training Data: Population-Aligned Instance Replication (PAIR)
Correcting Annotator Bias in Training Data: Population-Aligned Instance Replication (PAIR)
Stephanie Eckman
Bolei Ma
Christoph Kern
Rob Chew
Barbara Plank
Frauke Kreuter
41
0
0
12 Jan 2025
Mitigating Selection Bias with Node Pruning and Auxiliary Options
Mitigating Selection Bias with Node Pruning and Auxiliary Options
Hyeong Kyu Choi
Weijie Xu
Chi Xue
Stephanie Eckman
Chandan K. Reddy
31
1
0
27 Sep 2024
The Potential and Challenges of Evaluating Attitudes, Opinions, and
  Values in Large Language Models
The Potential and Challenges of Evaluating Attitudes, Opinions, and Values in Large Language Models
Bolei Ma
Xinpeng Wang
Tiancheng Hu
Anna Haensch
Michael A. Hedderich
Barbara Plank
Frauke Kreuter
ALM
37
2
0
16 Jun 2024
Interpreting Predictive Probabilities: Model Confidence or Human Label
  Variation?
Interpreting Predictive Probabilities: Model Confidence or Human Label Variation?
Joris Baan
Raquel Fernández
Barbara Plank
Wilker Aziz
51
10
0
25 Feb 2024
Incorporating Worker Perspectives into MTurk Annotation Practices for
  NLP
Incorporating Worker Perspectives into MTurk Annotation Practices for NLP
Olivia Huang
Eve Fleisig
Dan Klein
38
15
0
06 Nov 2023
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