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Finetuning Large Language Models to perform summarization on research papers

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Research-Paper-Summarizer

Finetuning Large Language Models to perform summarization on research papers.

A base T5 auto-regressive model was finetuned on this dataset of research papers paired with plain language summaries to generate readable summaries from technical abstracts.

The model achieved the following evaluation metrics:

  • ROUGE-1: 0.403590
  • ROUGE-2: 0.124948
  • ROUGE-L: 0.214003

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Finetuning Large Language Models to perform summarization on research papers

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