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Май
2022

TemporalWiki, updating language models 'on the fly'

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How can we update LMs *whenever* we want on up-to-date knowledge with *minimal* cost? Furthermore, how can we evaluate if each update was successful or not? We introduce ✨ TemporalWiki ✨, a lifelong benchmark providing the solution.

📝 https://t.co/vkLolTRHhi
🧵 1/8 pic.twitter.com/NblID1Tofm

— Joel Jang (@jang_yoel) May 3, 2022

Abstract of linked article:

Language Models (LMs) become outdated as the world changes; they often fail to per- form tasks requiring recent factual information which was absent or different during training, a phenomenon called temporal misalignment. This is especially a challenging problem because ...




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