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No Train but Gain: Language Arithmetic for training-free Language Adapters enhancement
April 25, 2024, 5:44 p.m. | Mateusz Klimaszewski, Piotr Andruszkiewicz, Alexandra Birch
cs.CL updates on arXiv.org arxiv.org
Abstract: Modular deep learning is the state-of-the-art solution for lifting the curse of multilinguality, preventing the impact of negative interference and enabling cross-lingual performance in Multilingual Pre-trained Language Models. However, a trade-off of this approach is the reduction in positive transfer learning from closely related languages. In response, we introduce a novel method called language arithmetic, which enables training-free post-processing to address this limitation. Inspired by the task arithmetic framework, we apply learning via addition to …
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