Large pre-trained Transformers are great, but expensive to run. But making them more efficient (e.g., early exits) can give undesirable performance hits.
In our new work, we speed up inference while guaranteeing consistency with the original model up to a specifiable tolerance.
Is your Fact Verification model robust enough? Consider adding #VitaminC 🍊
Check out our new #NAACL2021 paper: "Get Your Vitamin C! Robust Fact Verification with Contrastive Evidence" with @adamjfisch and @BarzilayRegina
🔗 https://t.co/wYgIcNKiZP
#NLProc#FakeNews📰
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Excited to participate in the @TTOConference this Friday. I'll talk about *Preventing Misinformation in the Era of GPT-3* (Generated Media session). I found many other interesting talks in the program!
Looking forward to virtually meeting everyone.
#TTOCon
https://t.co/Arx7U2HIkA