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2 resources

  • Yaliang Li, Liuyi Yao, Nan Du
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    Dec 15th, 2018
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    journalArticle
    Yaliang Li, Liuyi Yao, Nan Du
    Dec 15th, 2018

    The past few years have witnessed the flourishing of crowdsourced medical question answering (Q&A) websites. Patients who have medical information demands tend to post questions about their health conditions on these crowdsourced Q&A websites and get answers from other users. However, we observe that a large portion of new medical questions cannot be answered in time or receive only few answers from these websites. On the other hand, we notice that solved questions have great...

  • Rohan Anil, Andrew M. Dai, Orhan Firat
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    May 17th, 2023
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    preprint
    Rohan Anil, Andrew M. Dai, Orhan Firat
    May 17th, 2023

    We introduce PaLM 2, a new state-of-the-art language model that has better multilingual and reasoning capabilities and is more compute-efficient than its predecessor PaLM. PaLM 2 is a Transformer-based model trained using a mixture of objectives. Through extensive evaluations on English and multilingual language, and reasoning tasks, we demonstrate that PaLM 2 has significantly improved quality on downstream tasks across different model sizes, while simultaneously exhibiting faster and more...

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