label aggregation

Aggregating Crowd of LLMs for Cost-Effective Data Annotation EACL 2026 Thesis Proposal: Toward a Human-Centered and Perspective-Aware Framework for Reproducible ML Evaluation and AI Alignment ACL 2026 An Adaptive Method for Weak Supervision with Drifting Data AISTATS 2025 Bipartite Ranking From Multiple Labels: On Loss Versus Label Aggregation ICML 2025 Efficient Data Labeling by Hierarchical Crowdsourcing with Large Language Models COLING 2025 Label Aggregation for Composite Crowd Tasks by Worker Ability Constraint Satisfaction AAAI 2025 Mixture of Experts Based Multi-Task Supervise Learning from Crowds AAAI 2025 Predicting Median, Disagreement and Noise Label in Ordinal Word-in-Context Data COLING 2025 Collaborative Refining for Learning from Inaccurate Labels NeurIPS 2024 Corpus Considerations for Annotator Modeling and Scaling NAACL 2024 FAIR: Filtering of Automatically Induced Rules EACL 2024 The Perspectivist Paradigm Shift: Assumptions and Challenges of Capturing Human Labels NAACL 2024 Wisdom of Instruction-Tuned Language Model Crowds. Exploring Model Label Variation COLING 2024 ACTOR: Active Learning with Annotator-specific Classification Heads to Embrace Human Label Variation EMNLP 2023 Black-Box Data Poisoning Attacks on Crowdsourcing IJCAI 2023 Leveraging Instance Features for Label Aggregation in Programmatic Weak Supervision AISTATS 2023 Multilingual estimation of political-party positioning: From label aggregation to long-input Transformers EMNLP 2023 Recovering Top-Two Answers and Confusion Probability in Multi-Choice Crowdsourcing ICML 2023 SafeWebUH at SemEval-2023 Task 11: Learning Annotator Disagreement in Derogatory Text: Comparison of Direct Training vs Aggregation SemEval 2023 SemEval-2023 Task 11: Learning with Disagreements (LeWiDi) SemEval 2023 Testing conventional wisdom (of the crowd) UAI 2023 You Are What You Annotate: Towards Better Models through Annotator Representations EMNLP 2023 Adaptive Ranking-based Sample Selection for Weakly Supervised Class-imbalanced Text Classification EMNLP 2022 Learning from Multiple Noisy Partial Labelers AISTATS 2022 SPEAR : Semi-supervised Data Programming in Python EMNLP 2022