From Big to Small Without Losing It All: Text Augmentation with ChatGPT for Efficient Sentiment Analysis

7 December 2023

Papers citing "From Big to Small Without Losing It All: Text Augmentation with ChatGPT for Efficient Sentiment Analysis"

7 / 7 papers shown

Title
Emo Pillars: Knowledge Distillation to Support Fine-Grained Context-Aware and Context-Less Emotion Classification Alexander Shvets 21 0 0 23 Apr 2025
Unlocking LLMs: Addressing Scarce Data and Bias Challenges in Mental Health Vivek Kumar Eirini Ntoutsi Pushpraj Singh Rajawat Giacomo Medda Diego Reforgiato Recupero AI4MH 83 0 0 17 Dec 2024
Evaluating LLM Prompts for Data Augmentation in Multi-label Classification of Ecological Texts Anna Glazkova Olga Zakharova 79 2 0 22 Nov 2024
Masked Generative Story Transformer with Character Guidance and Caption Augmentation Christos Papadimitriou Giorgos Filandrianos Maria Lymperaiou Giorgos Stamou DiffM 102 1 0 13 Mar 2024
ZeroShotDataAug: Generating and Augmenting Training Data with ChatGPT S. Ubani Suleyman O. Polat Rodney D. Nielsen 97 52 0 27 Apr 2023
Will Affective Computing Emerge from Foundation Models and General AI? A First Evaluation on ChatGPT Mostafa M. Amin Min Zhang Björn W. Schuller AI4MH 54 72 0 03 Mar 2023
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 339 12,003 0 04 Mar 2022