no code implementations • 22 Feb 2024 • Junjie Ye, Nuo Xu, Yikun Wang, Jie zhou, Qi Zhang, Tao Gui, Xuanjing Huang
To overcome the limitations of existing data augmentation methods that compromise semantic integrity and address the uncertainty inherent in LLM-generated text, we leverage the distinctive characteristics of the NER task by augmenting the original data at both the contextual and entity levels.
no code implementations • 15 Nov 2023 • Yikun Wang, Rui Zheng, Haoming Li, Qi Zhang, Tao Gui, Fei Liu
This method trains the model to prioritize the best responses from a pool of candidates created for a particular task.
no code implementations • 31 Oct 2023 • Cenlin Duan, Jianlei Yang, Xiaolin He, Yingjie Qi, Yikun Wang, Yiou Wang, Ziyan He, Bonan Yan, Xueyan Wang, Xiaotao Jia, Weitao Pan, Weisheng Zhao
Processing-in-memory (PIM), as a novel computing paradigm, provides significant performance benefits from the aspect of effective data movement reduction.