arxiv Preprint - From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting
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arxiv Preprint - From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting

2023-09-19
In this episode we discuss From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting by Griffin Adams, Alexander Fabbri, Faisal Ladhak, Eric Lehman, Noémie Elhadad. The paper introduces a method called "Chain of Density" (CoD) for generating summaries with varying levels of information density. Using GPT-4, the authors generate entity-sparse summaries and then iteratively add missing salient entities without increasing the length. CoD summaries are found to be more ...
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