Tag: Embeddings
All the articles with the tag "Embeddings".
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HINT: Hypernetwork Approach to Training Weight Interval Regions in Continual Learning
HINT proposes a continual learning framework using interval arithmetic in embedding space with a hypernetwork to generate target network weights, achieving improved scalability and non-forgetting guarantees over InterContiNet while outperforming several benchmarks, though struggling with complex datasets.
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HYPEROFA: Expanding LLM Vocabulary to New Languages via Hypernetwork-Based Embedding Initialization
本文提出基于超网络的HYPEROFA方法,用于初始化新语言令牌嵌入,提高PLM对低资源语言的适应性,性能优于随机初始化并与OFA方法持平或更好。
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ASIDE: Architectural Separation of Instructions and Data in Language Models
本文提出ASIDE方法,通过在嵌入级别应用固定正交旋转实现大型语言模型的指令-数据架构分离,提高了模型的安全性和对提示注入攻击的鲁棒性,同时不牺牲性能。