With zero labeled examples, GPT-4-Vision reaches 69.9% accuracy on RVL-CDIP document classification, and generative LoRA fine-tuning of Mistral-7B reaches 72.5% with just 10 labels per class.
Qlora: Efficient finetuning of quantized llms.Advances in Neural Information Processing Systems 36 (2024)
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Zero-Shot Prompting and Few-Shot Fine-Tuning: Revisiting Document Image Classification Using Large Language Models
With zero labeled examples, GPT-4-Vision reaches 69.9% accuracy on RVL-CDIP document classification, and generative LoRA fine-tuning of Mistral-7B reaches 72.5% with just 10 labels per class.