Improving optimal prompt learning through multilayer fusion and latent dirichlet allocation

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 specialized domains remain challenging. We in...

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Bibliographic Details
Main Authors: Qinghua Chen, Jessica Korneder, Osamah A. Rawashdeh, Yanfeng Wang, Wing-Yue Geoffrey Louie
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-06-01
Series:Frontiers in Robotics and AI
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Online Access:https://www.frontiersin.org/articles/10.3389/frobt.2025.1579990/full
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