conftrace_

label quality

16 papers

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Co-occurring keywords

label noise (498) active learning (1301) annotation quality (109) annotation aggregation (15) collaborative annotation (12) supervised learning (434) transfer learning (5449) annotator ranking (4) crowdsourced labeling (9) spammer detection (2)

Papers

Task Assignment meets Annotator Modeling: Human-LLM Collaborative Annotation with Constraints ACL 2026
Improving Animal Pose Estimation through Species Similarity Measures and Rigorous Label Definition WACV 2026
A General Model for Aggregating Annotations AcrossSimple, Complex, and Multi-object Annotation Tasks (Abstract Reprint) AAAI 2024
IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors NIPS 2024
MEGAnno+: A Human-LLM Collaborative Annotation System EACL 2024
Efficient Online Crowdsourcing with Complex Annotations AAAI 2024
“Get Their Hands Dirty, Not Mine”: On Researcher-Annotator Collaboration and the Agency of Annotators ACL 2024
AQuA: A Benchmarking Tool for Label Quality Assessment NIPS 2023
When Do Annotator Demographics Matter? Measuring the Influence of Annotator Demographics with the POPQUORN Dataset ACL 2023
Crowdsourcing on Sensitive Data with Privacy-Preserving Text Rewriting ACL 2023
Non-Programmers Can Label Programs Indirectly via Active Examples: A Case Study with Text-to-SQL EMNLP 2023
SMART: An Open Source Data Labeling Platform for Supervised Learning JMLR 2019
On the Importance of Label Quality for Semantic Segmentation CVPR 2018
Obtaining High-Quality Label by Distinguishing between Easy and Hard Items in Crowdsourcing IJCAI 2017
Approval Voting and Incentives in Crowdsourcing ICML 2015
Ranking annotators for crowdsourced labeling tasks NIPS 2011