Improving optimal prompt learning through multilayer fusion and latent dirichlet allocation
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Recent advances in few-shot learning have demonstrated the potential of prompt-based techniques with pre-trained models, eliminating the need for extensive fine-tuning. However, challenges such as obtaining optimal prompts and addressing data scarcity in speci... ...