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Joanne Enticott

2 accepted papers

2026

Next Generation Active Learning: Mixture of LLMs in the Loop

AAAI 2026technical

With the rapid advancement and strong generalization capabilities of large language models (LLMs), they have been increasingly incorporated into the active learning pipelines as annotators to reduce annotation costs. However, considering the annotation quality, labels generated by LLMs often fall sh

Cited by 0SourcePDFScholar
2025

Multi-Label Bayesian Active Learning with Inter-Label Relationships

UAI 2025

The primary challenge of multi-label active learning, differing it from multi-class active learning, lies in assessing the informativeness of an indefinite number of labels while also accounting for the inherited label correlation. Existing studies either require substantial computational resources

Cited by 0SourcePDFScholar