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Toward Annotator Group Bias in Crowdsourcing

Toward Annotator Group Bias in Crowdsourcing

Annual Meeting of the Association for Computational Linguistics (ACL), 2021
8 October 2021
Haochen Liu
J. Thekinen
Sinem Mollaoglu
Da Tang
Ji Yang
Youlong Cheng
Hui Liu
Shucheng Zhou
ArXiv (abs)PDFHTMLGithub

Papers citing "Toward Annotator Group Bias in Crowdsourcing"

11 / 11 papers shown
Bias in, Bias out: Annotation Bias in Multilingual Large Language Models
Bias in, Bias out: Annotation Bias in Multilingual Large Language Models
Xia Cui
Ziyi Huang
Naeemeh Adel
109
0
0
18 Nov 2025
Reducing annotator bias by belief elicitation
Reducing annotator bias by belief elicitation
Terne Sasha Thorn Jakobsen
Andreas Bjerre-Nielsen
Robert Böhm
209
0
0
21 Oct 2024
Augmenting Compliance-Guaranteed Customer Service Chatbots: Context-Aware Knowledge Expansion with Large Language Models
Augmenting Compliance-Guaranteed Customer Service Chatbots: Context-Aware Knowledge Expansion with Large Language Models
Mengze Hong
Wailing Ng
Chen Zhang
Lu Wang
531
2
0
16 Oct 2024
The Devil is in the Neurons: Interpreting and Mitigating Social Biases
  in Pre-trained Language Models
The Devil is in the Neurons: Interpreting and Mitigating Social Biases in Pre-trained Language Models
Yan Liu
Yu Liu
Xiaokang Chen
Pin-Yu Chen
Daoguang Zan
Min-Yen Kan
Tsung-Yi Ho
296
5
0
14 Jun 2024
Are We Done with MMLU?
Are We Done with MMLU?
Aryo Pradipta Gema
Joshua Ong Jun Leang
Giwon Hong
Alessio Devoto
Alberto Carlo Maria Mancino
...
R. McHardy
Joshua Harris
Jean Kaddour
Emile van Krieken
Pasquale Minervini
ELM
513
122
0
06 Jun 2024
Mitigating Voter Attribute Bias for Fair Opinion Aggregation
Mitigating Voter Attribute Bias for Fair Opinion AggregationAAAI/ACM Conference on AI, Ethics, and Society (AIES), 2023
Ryosuke Ueda
Koh Takeuchi
H. Kashima
266
2
0
20 Jul 2023
Uncovering and Quantifying Social Biases in Code Generation
Uncovering and Quantifying Social Biases in Code GenerationNeural Information Processing Systems (NeurIPS), 2023
Wenshu Fan
Xiaokang Chen
Yan Gao
Zhe Su
Fengji Zhang
Daoguang Zan
Jian-Guang Lou
Pin-Yu Chen
Tsung-Yi Ho
334
31
0
24 May 2023
Explanation-based Finetuning Makes Models More Robust to Spurious Cues
Explanation-based Finetuning Makes Models More Robust to Spurious CuesAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Josh Magnus Ludan
Yixuan Meng
Nguyen Tai
Saurabh Shah
Qing Lyu
Marianna Apidianaki
Chris Callison-Burch
AAMLLRM
448
27
0
08 May 2023
Learnings from Technological Interventions in a Low Resource Language:
  Enhancing Information Access in Gondi
Learnings from Technological Interventions in a Low Resource Language: Enhancing Information Access in Gondi
Devansh Mehta
Harshita Diddee
Ananya Saxena
Anurag Shukla
Sebastin Santy
...
B. M. L. Srivastava
Alok Sharma
Vishnu Prasad
U. Venkanna
Kalika Bali
193
1
0
29 Nov 2022
Trustworthy Human Computation: A Survey
Trustworthy Human Computation: A SurveyArtificial Intelligence Review (Artif Intell Rev), 2022
H. Kashima
S. Oyama
Hiromi Arai
Junichiro Mori
280
1
0
22 Oct 2022
Generating Data to Mitigate Spurious Correlations in Natural Language
  Inference Datasets
Generating Data to Mitigate Spurious Correlations in Natural Language Inference DatasetsAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Yuxiang Wu
Matt Gardner
Pontus Stenetorp
Pradeep Dasigi
285
74
0
24 Mar 2022
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