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Guoxiang Guo

1 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

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