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LM-CPPF: Paraphrasing-Guided Data Augmentation for Contrastive
  Prompt-Based Few-Shot Fine-Tuning

LM-CPPF: Paraphrasing-Guided Data Augmentation for Contrastive Prompt-Based Few-Shot Fine-Tuning

29 May 2023
Amirhossein Abaskohi
S. Rothe
Yadollah Yaghoobzadeh
    VLM
ArXivPDFHTML

Papers citing "LM-CPPF: Paraphrasing-Guided Data Augmentation for Contrastive Prompt-Based Few-Shot Fine-Tuning"

6 / 6 papers shown
Title
Heterogeneous Contrastive Learning for Foundation Models and Beyond
Heterogeneous Contrastive Learning for Foundation Models and Beyond
Lecheng Zheng
Baoyu Jing
Zihao Li
Hanghang Tong
Jingrui He
VLM
18
18
0
30 Mar 2024
SaGE: Evaluating Moral Consistency in Large Language Models
SaGE: Evaluating Moral Consistency in Large Language Models
Vamshi Bonagiri
Sreeram Vennam
Priyanshul Govil
Ponnurangam Kumaraguru
Manas Gaur
ELM
38
0
0
21 Feb 2024
Paraphrase Identification with Deep Learning: A Review of Datasets and
  Methods
Paraphrase Identification with Deep Learning: A Review of Datasets and Methods
Chao Zhou
Cheng Qiu
Daniel Ernesto Acuna
16
25
0
13 Dec 2022
Making Pre-trained Language Models Better Few-shot Learners
Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao
Adam Fisch
Danqi Chen
238
1,898
0
31 Dec 2020
Contrastive Representation Learning: A Framework and Review
Contrastive Representation Learning: A Framework and Review
Phúc H. Lê Khắc
Graham Healy
A. Smeaton
SSL
AI4TS
146
670
0
10 Oct 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
248
1,382
0
21 Jan 2020
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