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Prompting Encoder Models for Zero-Shot Classification: A Cross-Domain
  Study in Italian

Prompting Encoder Models for Zero-Shot Classification: A Cross-Domain Study in Italian

30 July 2024
S. Auriemma
Martina Miliani
Mauro Madeddu
Alessandro Bondielli
Lucia Passaro
Alessandro Lenci
ArXivPDFHTML

Papers citing "Prompting Encoder Models for Zero-Shot Classification: A Cross-Domain Study in Italian"

4 / 4 papers shown
Title
Fantastically Ordered Prompts and Where to Find Them: Overcoming
  Few-Shot Prompt Order Sensitivity
Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity
Yao Lu
Max Bartolo
Alastair Moore
Sebastian Riedel
Pontus Stenetorp
AILaw
LRM
274
1,114
0
18 Apr 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
278
3,784
0
18 Apr 2021
Making Pre-trained Language Models Better Few-shot Learners
Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao
Adam Fisch
Danqi Chen
241
1,898
0
31 Dec 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural
  Language Inference
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference
Timo Schick
Hinrich Schütze
253
1,584
0
21 Jan 2020
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