707 citations · 709 across the 4 of their papers we have counts for
3 papers · 1 filter
Towards Model-Based Data Acquisition for Subjective Multi-Task NLP Problems
Kamil Kanclerz, Julita Bielaniewicz, Marcin Gruza +3
Data annotated by humans is a source of knowledge by describing the peculiarities of the problem and therefore fueling the decision process of the trained model. Unfortunately, the…
From Big to Small Without Losing It All: Text Augmentation with ChatGPT for Efficient Sentiment Analysis
Stanisław Woźniak, Jan Kocoń
In the era of artificial intelligence, data is gold but costly to annotate. The paper demonstrates a groundbreaking solution to this dilemma using ChatGPT for text augmentation in…
ChatGPT: Jack of all trades, master of none
Jan Kocoń, Igor Cichecki, Oliwier Kaszyca +17
OpenAI has released the Chat Generative Pre-trained Transformer (ChatGPT) and revolutionized the approach in artificial intelligence to human-model interaction. Several publication…