Apr 23, 2024 · This taxonomy encompasses many PTM prominent challenges such as fine-tuning, output understanding, and prompt customization, which reflects the ...
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May 1, 2024 · One challenge is Model Design, which involves making decisions on the neural network architecture, pre-training objectives, regularization ...
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Jul 19, 2024 · We present Pre-trained Machine Reader (PMR), a novel method for retrofitting pre-trained masked language models (MLMs) to pre-trained machine ...
Dataset of paper: Challenges of Using Pre-trained Models: The Practitioners' Perspective. This collection is shared privately. Collection Structure.
Challenges of Using Pre-trained Models: The Practitioners' Perspective · Committee Member in Program Committee within the Research Papers-track.
本论文旨在探究使用预训练模型（PTMs）的挑战，以及如何有效地利用它们。 关键思路. 通过收集和分析Stack Overflow 上的5,896 ...
Aug 16, 2024 · 刘芳,liufang,北京航空航天大学主页平台系统, Challenges of Using Pre-trained Models: the Practitioners' Perspective刘芳,
本论文旨在探讨使用预训练模型（PTMs）时所面临的挑战，并提供解决方案。作者通过分析Stack Overflow上的5,896个PTM相关问题来填补这一领域的知识空白。
Aug 24, 2023 · We will provide a 2023 outlook for the future directions of representation learning techniques for NLP by summarizing ten key open problems for pre-trained ...
Standing on the new giants of big models, there are many new challenges and opportunities for representation learning. In the last chapter, we will provide a ...