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2 resources

  • Griffin Adams, Alexander Fabbri, Faisal ...
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    Sep 8th, 2023
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    preprint
    Griffin Adams, Alexander Fabbri, Faisal ...
    Sep 8th, 2023

    Selecting the ``right'' amount of information to include in a summary is a difficult task. A good summary should be detailed and entity-centric without being overly dense and hard to follow. To better understand this tradeoff, we solicit increasingly dense GPT-4 summaries with what we refer to as a ``Chain of Density'' (CoD) prompt. Specifically, GPT-4 generates an initial entity-sparse summary before iteratively incorporating missing salient entities without increasing the length. Summaries...

  • Shibani Santurkar, Esin Durmus, Faisal L...
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    Mar 30th, 2023
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    preprint
    Shibani Santurkar, Esin Durmus, Faisal L...
    Mar 30th, 2023

    Language models (LMs) are increasingly being used in open-ended contexts, where the opinions reflected by LMs in response to subjective queries can have a profound impact, both on user satisfaction, as well as shaping the views of society at large. In this work, we put forth a quantitative framework to investigate the opinions reflected by LMs -- by leveraging high-quality public opinion polls and their associated human responses. Using this framework, we create OpinionsQA, a new dataset for...

Last update from database: 05/02/2025, 17:15 (UTC)
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