Papers by Xiaohao Liao

1 papers
CycleOIE: A Low-Resource Training Framework For Open Information Extraction (2025.coling-main)

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Challenge: Open Information Extraction (OpenIE) models rely heavily on large amounts of annotated data.
Approach: They propose a training framework that maximizes data efficiency through a cycle-consistency mechanism.
Outcome: The proposed approach improves the quality of training data by curating low-quality datasets annotated by a large language model.

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