2 papers
cs.LG2026
AHEAD: Advancing Multi-Class Label Aggregation with Interpretable Cross-Annotator Modeling
Ju Chen, Sijia Xu, Jun Feng +2
Crowdsourced labeling provides valuable labeled data for domains across natural language processing, computer vision, and video. Label aggregation aims to infer latent true labels…
cs.LG2025
Understanding the Essence: Delving into Annotator Prototype Learning for Multi-Class Annotation Aggregation
Ju Chen, Jun Feng, Shenyu Zhang
Multi-class classification annotations have significantly advanced AI applications, with truth inference serving as a critical technique for aggregating noisy and biased annotation…