LG-CoTrain, an LLM-guided co-training method, outperforms classical semi-supervised baselines for crisis tweet classification in low-resource settings with 5-25 labeled examples per class.
Journal of Machine Learning Research , volume =
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NLP-derived attributes from construction incident reports remain strongly predictive of independently labeled safety outcomes even after removing potential label leakage, with injury severity now well predicted on a dataset of more than 90,000 reports.
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LLM-guided Semi-Supervised Approaches for Social Media Crisis Data Classification
LG-CoTrain, an LLM-guided co-training method, outperforms classical semi-supervised baselines for crisis tweet classification in low-resource settings with 5-25 labeled examples per class.
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AI-based Prediction of Independent Construction Safety Outcomes from Universal Attributes
NLP-derived attributes from construction incident reports remain strongly predictive of independently labeled safety outcomes even after removing potential label leakage, with injury severity now well predicted on a dataset of more than 90,000 reports.