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Evaluating Text Summaries Generated by Large Language Models Using OpenAI's GPT
This research examines the effectiveness of OpenAI's GPT models as independent evaluators of text summaries generated by six transformer-based models from Hugging Face: DistilBART, BERT, ProphetNet, T5, BART, and PEGASUS.
Utilizing GPT to Enhance Text Summarization: A Strategy to Minimize Hallucinations
In this research, we uses the DistilBERT model to generate extractive summary and the T5 model to generate abstractive summaries.
Metric Ensembles For Hallucination Detection
Due to this need, a wide array of metrics estimating consistency with the text being summarized have been proposed.
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