Timo Schick (@timo_schick) / X
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Timo Schick on X: 🎉 New paper 🎉 We show that prompt-based learners like PET excel in true few-shot settings (@EthanJPerez) if correctly configured: On @oughtinc's RAFT, PET performs close to non-expert
Maxence Boels (@MaxenceBoels) / X
Ves Stoyanov (@vesko_st) / X
BERTRAM: Improved Word Embeddings Have Big Impact on Contextualized Model Performance - ACL Anthology
Sebastian Riedel (@riedelcastro@sigmoid.social) (@riedelcastro) / X
Timo Schick on X: Interested in distilling zero-shot knowledge from big LMs like GPT-3? Or in learning more about a movie called Bullfrogs on Poopy Mountain? 🐸💩 Check out our blog post
Timo Schick (@timo_schick) / X
Exploiting Cloze-Questions for Few-Shot Text Classification and Natural Language Inference - ACL Anthology
timo tons of chicks｜TikTok Search
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