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

29 May 2023

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

7 / 7 papers shown

Title
uTeBC-NLP at SemEval-2024 Task 9: Can LLMs be Lateral Thinkers? Pouya Sadeghi Amirhossein Abaskohi Yadollah Yaghoobzadeh LRM ReLM 39 1 0 03 Apr 2024
Heterogeneous Contrastive Learning for Foundation Models and Beyond Lecheng Zheng Baoyu Jing Zihao Li Hanghang Tong Jingrui He VLM 38 19 0 30 Mar 2024
SaGE: Evaluating Moral Consistency in Large Language Models Vamshi Krishna Bonagiri Sreeram Vennam Priyanshul Govil Ponnurangam Kumaraguru Manas Gaur ELM 56 0 0 21 Feb 2024
Paraphrase Identification with Deep Learning: A Review of Datasets and Methods Chao Zhou Cheng Qiu Daniel Ernesto Acuna 32 25 0 13 Dec 2022
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 243 1,924 0 31 Dec 2020
Contrastive Representation Learning: A Framework and Review Phúc H. Lê Khắc Graham Healy Alan F. Smeaton SSL AI4TS 178 686 0 10 Oct 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 258 1,589 0 21 Jan 2020