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67 - GLUE: A Multi-Task Benchmark and Analysis Platform, with Sam Bowman

NLP Highlights

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Why Leaderboards Encourage Bad Science

I feel like things like Elmo or language models are just inherently more scalable to information content than a single vector. And you're right that for some applications, say I want to have some huge database of sentences that I can do quick lookups in this vector space. But even then, the particular vector that you're going to use is going to have some extracted features that is a fixed length set. And so however you pre-train this is going to be focused on some particular objective, and hopefully it matches how you want to actually use it.

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