LLM-generated data augmentation improves F1 for RoBERTa and Flan-T5 on the Semeval 2025 food hazard task, but not on every metric as claimed.
Exploring in-context learning: A deep dive into model size, templates, and few-shot learning for text classification,
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Data Augmentation to Improve Large Language Models in Food Hazard and Product Detection
LLM-generated data augmentation improves F1 for RoBERTa and Flan-T5 on the Semeval 2025 food hazard task, but not on every metric as claimed.