A Soft Contrastive Learning-based Prompt Model for Few-shot Sentiment
Analysis

A Soft Contrastive Learning-based Prompt Model for Few-shot Sentiment Analysis

16 December 2023

Jie Zhou

Xuanjing Huang

Papers citing "A Soft Contrastive Learning-based Prompt Model for Few-shot Sentiment Analysis"

7 / 7 papers shown

Title
A Comprehensive Survey of Challenges and Opportunities of Few-Shot Learning Across Multiple Domains Andrea Gajic Sudip Vhaduri OOD VLM 51 0 0 05 Apr 2025
Retrieval-Augmented Meta Learning for Low-Resource Text Classification Rongsheng Li Y. Li Yinghui Li Chaiyut Luoyiching Hai-Tao Zheng Nannan Zhou Hanjing Su RALM 13 2 0 10 Sep 2023
Will Affective Computing Emerge from Foundation Models and General AI? A First Evaluation on ChatGPT Mostafa M. Amin Erik Cambria Björn W. Schuller AI4MH 52 71 0 03 Mar 2023
Large Language Models are Zero-Shot Reasoners Takeshi Kojima S. Gu Machel Reid Yutaka Matsuo Yusuke Iwasawa ReLM LRM 293 4,077 0 24 May 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 315 8,448 0 28 Jan 2022
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 280 3,843 0 18 Apr 2021
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 258 1,586 0 21 Jan 2020