annotator disagreement

Can Reasoning Help Large Language Models Capture Human Annotator Disagreement? EACL 2026 Ensemble Diversity Optimization for Subjective Supervision UAI 2026 Gender and Politeness Perception: A Novel Approach for Exploring Annotations Disagreement EACL 2026 Modeling Annotator Disagreement with Demographic-Aware Experts and Synthetic Perspectives ACL 2026 Paradise at SemEval-2026 Task 5: On the Limitations of Surface-Level Features for Graded Word Sense Plausibility Prediction SemEval 2026 Beyond Averages: Learning with Annotator Disagreement in STS EMNLP 2025 Beyond Human Judgment: A Bayesian Evaluation of LLMs’ Moral Values Understanding EMNLP 2025 CoMeDi Shared Task: Median Judgment Classification & Mean Disagreement Ranking with Ordinal Word-in-Context Judgments COLING 2025 Deep-change at CoMeDi: the Cross-Entropy Loss is not All You Need COLING 2025 From Noise to Nuance: Enriching Subjective Data Annotation through Qualitative Analysis EMNLP 2025 Funzac at CoMeDi Shared Task: Modeling Annotator Disagreement from Word-In-Context Perspectives COLING 2025 JuniperLiu at CoMeDi Shared Task: Models as Annotators in Lexical Semantics Disagreements COLING 2025 Learning Subjective Label Distributions via Sociocultural Descriptors EMNLP 2025 LeWiDi-2025 at NLPerspectives: Third Edition of the Learning with Disagreements Shared Task EMNLP 2025 LiTEx: A Linguistic Taxonomy of Explanations for Understanding Within-Label Variation in Natural Language Inference EMNLP 2025 LPI-RIT at LeWiDi-2025: Improving Distributional Predictions via Metadata and Loss Reweighting with DisCo EMNLP 2025 McMaster at LeWiDi-2025: Demographic-Aware RoBERTa EMNLP 2025 NUTMEG: Separating Signal From Noise in Annotator Disagreement EMNLP 2025 Predicting Median, Disagreement and Noise Label in Ordinal Word-in-Context Data COLING 2025 Understanding Disagreement: An Annotation Study of Sentiment and Emotional Language in Environmental Communication ACL 2025 Using LLMs and Preference Optimization for Agreement-Aware HateWiC Classification ACL 2025 Weak Ensemble Learning from Multiple Annotators for Subjective Text Classification EMNLP 2025 Will Annotators Disagree? Identifying Subjectivity in Value-Laden Arguments EMNLP 2025 Accurate and Data-Efficient Toxicity Prediction when Annotators Disagree EMNLP 2024 Improving Adversarial Data Collection by Supporting Annotators: Lessons from GAHD, a German Hate Speech Dataset NAACL 2024