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Your Daily AI Research tl;dr — 2022–07–12 🧠
Improving transformers with k-means, making Wikipedia more verifiable and a new competition to make more diverse and inclusive speech recognition tools…
Welcome to your official daily AI research tl;dr (often with code and news) for AI enthusiasts where I share the most exciting papers I find daily, along with a one-liner summary to help you quickly determine if the article (and code) is worth investigating. I will also take this opportunity to share daily exciting news in the field.
Let’s get started with this iteration!
1️⃣ Improving Wikipedia Verifiability with AI
They developed a model, called Side, to identify Wikipedia citations that are unlikely to support their claims and recommend better ones from the web.
“Using crowd-sourcing, we observe that for the top 10% most likely citations to be tagged as unverifiable by our system, humans prefer our system’s suggested alternatives compared to the originally cited reference 70% of the time.”
Link to the paper: https://openreview.net/forum?id=qfTqRtkDbWZ
