Search Results for author:
Found 2 papers, 0 papers with code
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.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
