2 papers
cs.LG2026
Conformalized Large Language Models under Configuration Shift
Yuqicheng Zhu, Jialin Yu, Lin Li +7
Conformal prediction (CP) is a distribution-free framework for uncertainty quantification that has recently been adapted to large language models (LLMs), providing prediction sets…
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…