Fine-tuning BERT models on LDA topic subsets of NLPositionality gives higher F1 than zero-shot GPT-4 and toxicity APIs, but the improvement is driven by a single topic and baseline comparisons are not controlled.
Language models are few-shot learners,
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Leveraging Large Language Models and Topic Modeling for Toxicity Classification
Fine-tuning BERT models on LDA topic subsets of NLPositionality gives higher F1 than zero-shot GPT-4 and toxicity APIs, but the improvement is driven by a single topic and baseline comparisons are not controlled.