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Scalable Language Model with Generalized Continual Learning
April 12, 2024, 4:47 a.m. | Bohao Peng, Zhuotao Tian, Shu Liu, Mingchang Yang, Jiaya Jia
cs.CL updates on arXiv.org arxiv.org
Abstract: Continual learning has gained increasing importance as it facilitates the acquisition and refinement of scalable knowledge and skills in language models. However, existing methods typically encounter strict limitations and challenges in real-world scenarios, such as reliance on experience replay, optimization constraints, and inference task-ID. In this study, we introduce the Scalable Language Model (SLM) to overcome these limitations within a more challenging and generalized setting, representing a significant advancement toward practical applications for continual learning. …
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