Research talk: Learning and pretraining strategies for dense retrieval in search and beyond
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Microsoft Research329 тыс
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27.01.22 – 6 7406:07Популярные
212 дней – 1 5161:07:34
Опубликовано 25 января 2022, 1:40
Speaker: Chenyan Xiong, Senior Researcher, Microsoft Research Redmond
In this talk, we’ll quickly go through our recent observations and findings with dense retrieval. First, we’ll recap the standard setup and training strategies for dense retrieval models in search. We’ll then share our recent progress on generalizing dense retrieval to recommendation, complex question answering, and latent reasoning. Finally, we’ll discuss the challenges with mismatches between pretrained models and dense retrieval requirements and our early attempts in dense retrieval dedicated pretraining techniques.
Learn more about the 2021 Microsoft Research Summit: Aka.ms/researchsummit
In this talk, we’ll quickly go through our recent observations and findings with dense retrieval. First, we’ll recap the standard setup and training strategies for dense retrieval models in search. We’ll then share our recent progress on generalizing dense retrieval to recommendation, complex question answering, and latent reasoning. Finally, we’ll discuss the challenges with mismatches between pretrained models and dense retrieval requirements and our early attempts in dense retrieval dedicated pretraining techniques.
Learn more about the 2021 Microsoft Research Summit: Aka.ms/researchsummit
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