LabelFusion: Enhancing Text Classification with LLMs and Transformers
Published:Dec 11, 2025 16:39
•1 min read
•ArXiv
Analysis
The paper likely presents a novel approach to text classification, aiming to leverage the strengths of Large Language Models (LLMs) and transformer-based classifiers. This research contributes to the ongoing effort of improving the accuracy and robustness of NLP models.
Key Takeaways
Reference
“The research focuses on fusing LLMs and Transformer Classifiers.”