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

v1v2v3 (latest)

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

29 May 2023

Amirhossein Abaskohi

Yadollah Yaghoobzadeh

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

9 / 9 papers shown

Title
Building a Family of Data Augmentation Models for Low-cost LLM Fine-tuning on the Cloud Yuanhao Yue Chengyu Wang Jun Huang Peng Wang 96 2 0 06 Dec 2024
Which Programming Language and What Features at Pre-training Stage Affect Downstream Logical Inference Performance? Fumiya Uchiyama Takeshi Kojima Andrew Gambardella Qi Cao Yusuke Iwasawa Y. Matsuo LRM ReLM 68 3 0 09 Oct 2024
BCAmirs at SemEval-2024 Task 4: Beyond Words: A Multimodal and Multilingual Exploration of Persuasion in Memes Amirhossein Abaskohi AmirHossein Dabiri Aghdam Lele Wang Giuseppe Carenini 78 1 0 03 Apr 2024
uTeBC-NLP at SemEval-2024 Task 9: Can LLMs be Lateral Thinkers? Pouya Sadeghi Amirhossein Abaskohi Yadollah Yaghoobzadeh LRM ReLM 104 1 0 03 Apr 2024
Heterogeneous Contrastive Learning for Foundation Models and Beyond Lecheng Zheng Baoyu Jing Zihao Li Hanghang Tong Jingrui He VLM 106 23 0 30 Mar 2024
RIFF: Learning to Rephrase Inputs for Few-shot Fine-tuning of Language Models Saeed Najafi Alona Fyshe 78 2 0 04 Mar 2024
SaGE: Evaluating Moral Consistency in Large Language Models Vamshi Krishna Bonagiri Sreeram Vennam Priyanshul Govil Ponnurangam Kumaraguru Manas Gaur ELM 85 0 0 21 Feb 2024
Measuring Moral Inconsistencies in Large Language Models Vamshi Krishna Bonagiri Sreeram Vennam Manas Gaur Ponnurangam Kumaraguru 56 0 0 26 Jan 2024
Paraphrase Identification with Deep Learning: A Review of Datasets and Methods Chao Zhou Cheng Qiu Daniel Ernesto Acuna 127 26 0 13 Dec 2022

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