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Everyone's Voice Matters: Quantifying Annotation Disagreement Using
  Demographic Information

Everyone's Voice Matters: Quantifying Annotation Disagreement Using Demographic Information

12 January 2023
Ruyuan Wan
Jaehyung Kim
Dongyeop Kang
ArXivPDFHTML

Papers citing "Everyone's Voice Matters: Quantifying Annotation Disagreement Using Demographic Information"

24 / 24 papers shown
Title
Conflicts in Texts: Data, Implications and Challenges
Conflicts in Texts: Data, Implications and Challenges
Siyi Liu
Dan Roth
145
0
0
28 Apr 2025
CLASH: Evaluating Language Models on Judging High-Stakes Dilemmas from Multiple Perspectives
CLASH: Evaluating Language Models on Judging High-Stakes Dilemmas from Multiple Perspectives
Ayoung Lee
Ryan Sungmo Kwon
Peter Railton
Lu Wang
ELM
51
0
0
15 Apr 2025
Evaluating how LLM annotations represent diverse views on contentious topics
Evaluating how LLM annotations represent diverse views on contentious topics
Megan A. Brown
Shubham Atreja
Libby Hemphill
Patrick Y. Wu
134
0
0
29 Mar 2025
QuestBench: Can LLMs ask the right question to acquire information in reasoning tasks?
QuestBench: Can LLMs ask the right question to acquire information in reasoning tasks?
Belinda Z. Li
Been Kim
Z. Wang
LRM
38
2
0
28 Mar 2025
Beyond Demographics: Fine-tuning Large Language Models to Predict Individuals' Subjective Text Perceptions
Beyond Demographics: Fine-tuning Large Language Models to Predict Individuals' Subjective Text Perceptions
Matthias Orlikowski
Jiaxin Pei
Paul Röttger
Philipp Cimiano
David Jurgens
Dirk Hovy
59
1
0
28 Feb 2025
Leveraging Annotator Disagreement for Text Classification
Leveraging Annotator Disagreement for Text Classification
Jin Xu
Mariët Theune
Daniel Braun
30
2
0
26 Sep 2024
Does Cross-Cultural Alignment Change the Commonsense Morality of
  Language Models?
Does Cross-Cultural Alignment Change the Commonsense Morality of Language Models?
Yuu Jinnai
49
1
0
24 Jun 2024
A Taxonomy of Challenges to Curating Fair Datasets
A Taxonomy of Challenges to Curating Fair Datasets
Dora Zhao
M. Scheuerman
Pooja Chitre
Jerone T. A. Andrews
Georgia Panagiotidou
Shawn Walker
Kathleen H. Pine
Alice Xiang
47
2
0
10 Jun 2024
Annotation alignment: Comparing LLM and human annotations of
  conversational safety
Annotation alignment: Comparing LLM and human annotations of conversational safety
Rajiv Movva
Pang Wei Koh
Emma Pierson
ALM
39
3
0
10 Jun 2024
Annotation-Efficient Preference Optimization for Language Model
  Alignment
Annotation-Efficient Preference Optimization for Language Model Alignment
Yuu Jinnai
Ukyo Honda
42
0
0
22 May 2024
The Perspectivist Paradigm Shift: Assumptions and Challenges of
  Capturing Human Labels
The Perspectivist Paradigm Shift: Assumptions and Challenges of Capturing Human Labels
Eve Fleisig
Su Lin Blodgett
Dan Klein
Zeerak Talat
32
13
0
09 May 2024
Beyond Accuracy: Investigating Error Types in GPT-4 Responses to USMLE
  Questions
Beyond Accuracy: Investigating Error Types in GPT-4 Responses to USMLE Questions
Soumyadeep Roy
A. Khatua
Fatemeh Ghoochani
Uwe Hadler
Wolfgang Nejdl
Niloy Ganguly
ELM
LM&MA
46
8
0
20 Apr 2024
Don't Blame the Data, Blame the Model: Understanding Noise and Bias When
  Learning from Subjective Annotations
Don't Blame the Data, Blame the Model: Understanding Noise and Bias When Learning from Subjective Annotations
Abhishek Anand
Negar Mokhberian
Prathyusha Naresh Kumar
Anweasha Saha
Zihao He
Ashwin Rao
Fred Morstatter
Kristina Lerman
39
6
0
06 Mar 2024
On Diversified Preferences of Large Language Model Alignment
On Diversified Preferences of Large Language Model Alignment
Dun Zeng
Yong Dai
Pengyu Cheng
Longyue Wang
Tianhao Hu
Wanshun Chen
Nan Du
Zenglin Xu
ALM
38
16
0
12 Dec 2023
Disentangling Perceptions of Offensiveness: Cultural and Moral
  Correlates
Disentangling Perceptions of Offensiveness: Cultural and Moral Correlates
Aida Mostafazadeh Davani
Mark Díaz
Dylan K. Baker
Vinodkumar Prabhakaran
AAML
31
14
0
11 Dec 2023
Capturing Perspectives of Crowdsourced Annotators in Subjective Learning
  Tasks
Capturing Perspectives of Crowdsourced Annotators in Subjective Learning Tasks
Negar Mokhberian
Myrl G. Marmarelis
F. R. Hopp
Valerio Basile
Fred Morstatter
Kristina Lerman
38
9
0
16 Nov 2023
Unveiling the Multi-Annotation Process: Examining the Influence of
  Annotation Quantity and Instance Difficulty on Model Performance
Unveiling the Multi-Annotation Process: Examining the Influence of Annotation Quantity and Instance Difficulty on Model Performance
Pritam Kadasi
Mayank Singh
26
3
0
23 Oct 2023
Sensitivity, Performance, Robustness: Deconstructing the Effect of
  Sociodemographic Prompting
Sensitivity, Performance, Robustness: Deconstructing the Effect of Sociodemographic Prompting
Tilman Beck
Hendrik Schuff
Anne Lauscher
Iryna Gurevych
40
32
0
13 Sep 2023
When Do Annotator Demographics Matter? Measuring the Influence of
  Annotator Demographics with the POPQUORN Dataset
When Do Annotator Demographics Matter? Measuring the Influence of Annotator Demographics with the POPQUORN Dataset
Jiaxin Pei
David Jurgens
40
31
0
12 Jun 2023
NLPositionality: Characterizing Design Biases of Datasets and Models
NLPositionality: Characterizing Design Biases of Datasets and Models
Sebastin Santy
Jenny T Liang
Ronan Le Bras
Katharina Reinecke
Maarten Sap
30
77
0
02 Jun 2023
Annotation Imputation to Individualize Predictions: Initial Studies on
  Distribution Dynamics and Model Predictions
Annotation Imputation to Individualize Predictions: Initial Studies on Distribution Dynamics and Model Predictions
London Lowmanstone
Ruyuan Wan
Risako Owan
Jaehyung Kim
Dongyeop Kang
21
1
0
24 May 2023
Sociocultural Norm Similarities and Differences via Situational
  Alignment and Explainable Textual Entailment
Sociocultural Norm Similarities and Differences via Situational Alignment and Explainable Textual Entailment
Sky CH-Wang
Arkadiy Saakyan
Aochong Li
Zhou Yu
Smaranda Muresan
27
16
0
23 May 2023
When the Majority is Wrong: Modeling Annotator Disagreement for
  Subjective Tasks
When the Majority is Wrong: Modeling Annotator Disagreement for Subjective Tasks
Eve Fleisig
Rediet Abebe
Dan Klein
31
43
0
11 May 2023
DynaSent: A Dynamic Benchmark for Sentiment Analysis
DynaSent: A Dynamic Benchmark for Sentiment Analysis
Christopher Potts
Zhengxuan Wu
Atticus Geiger
Douwe Kiela
230
77
0
30 Dec 2020
1