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Papers
On the Interplay between Human Label Variation and Model Fairness
EACL 2026
Fine-grained Fallacy Detection with Human Label Variation
NAACL 2025
LiTEx: A Linguistic Taxonomy of Explanations for Understanding Within-Label Variation in Natural Language Inference
EMNLP 2025
Mining the uncertainty patterns of humans and models in the annotation of moral foundations and human values
ACL 2025
Revisiting Active Learning under (Human) Label Variation
EMNLP 2025
Threading the Needle: Reweaving Chain-of-Thought Reasoning to Explain Human Label Variation
EMNLP 2025
“Seeing the Big through the Small”: Can LLMs Approximate Human Judgment Distributions on NLI from a Few Explanations?
EMNLP 2024
VariErr NLI: Separating Annotation Error from Human Label Variation
ACL 2024
Architectural Sweet Spots for Modeling Human Label Variation by the Example of Argument Quality: It’s Best to Relate Perspectives!
EMNLP 2023
From Dissonance to Insights: Dissecting Disagreements in Rationale Construction for Case Outcome Classification
EMNLP 2023
The Ecological Fallacy in Annotation: Modeling Human Label Variation goes beyond Sociodemographics
ACL 2023
The “Problem” of Human Label Variation: On Ground Truth in Data, Modeling and Evaluation
EMNLP 2022