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cs.CL2024
SAPT: A Shared Attention Framework for Parameter-Efficient Continual Learning of Large Language Models
Weixiang Zhao, Shilong Wang, Yulin Hu +6
The continual learning (CL) ability is vital for deploying large language models (LLMs) in the dynamic world. Existing methods devise the learning module to acquire task-specific k…
cs.CL2023★ 3 cited
XuanYuan 2.0: A Large Chinese Financial Chat Model with Hundreds of Billions Parameters
Xuanyu Zhang, Qing Yang, Dongliang Xu
In recent years, pre-trained language models have undergone rapid development with the emergence of large-scale models. However, there is a lack of open-sourced chat models specifi…
cs.CL2022★ 1 cited
TranS: Transition-based Knowledge Graph Embedding with Synthetic Relation Representation
Xuanyu Zhang, Qing Yang, Dongliang Xu
Knowledge graph embedding (KGE) aims to learn continuous vectors of relations and entities in knowledge graph. Recently, transition-based KGE methods have achieved promising perfor…