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Papers
ARTICLE: Annotator Reliability Through In-Context Learning
AAAI 2025
ARTICLE: Annotator Reliability Through In-Context Learning (Student Abstract)
AAAI 2025
Balancing Quality and Variation: Spam Filtering Distorts Data Label Distributions
EMNLP 2025
Challenges in Trustworthy Human Evaluation of Chatbots
NAACL 2025
Efficient Annotator Reliability Assessment and Sample Weighting for Knowledge-Based Misinformation Detection on Social Media
NAACL 2025
Efficient Annotator Reliability Assessment with EffiARA
ACL 2025
ArgAnalysis35K : A large-scale dataset for Argument Quality Analysis
ACL 2023
Disentangling Human Error from Ground Truth in Segmentation of Medical Images
NeurIPS 2020
Structured Probabilistic End-to-End Learning from Crowds
IJCAI 2020
A Bayesian Approach for Sequence Tagging with Crowds
EMNLP 2019
Modelling Instance-Level Annotator Reliability for Natural Language Labelling Tasks
NAACL 2019
Variational Inference for Crowdsourcing
NeurIPS 2012