Zobrazeno 1 - 10
of 402
pro vyhledávání: '"Jiang, Weifeng"'
Knowledge graph reasoning plays a vital role in various applications and has garnered considerable attention. Recently, path-based methods have achieved impressive performance. However, they may face limitations stemming from constraints in message-p
Externí odkaz:
http://arxiv.org/abs/2409.12865
Autor:
Chen, Ruirui, Jiang, Weifeng, Qin, Chengwei, Rawal, Ishaan Singh, Tan, Cheston, Choi, Dongkyu, Xiong, Bo, Ai, Bo
The rapid obsolescence of information in Large Language Models (LLMs) has driven the development of various techniques to incorporate new facts. However, existing methods for knowledge editing still face difficulties with multi-hop questions that req
Externí odkaz:
http://arxiv.org/abs/2408.15903
AI Safety is an emerging area of critical importance to the safe adoption and deployment of AI systems. With the rapid proliferation of AI and especially with the recent advancement of Generative AI (or GAI), the technology ecosystem behind the desig
Externí odkaz:
http://arxiv.org/abs/2408.12935
Federated Unlearning (FU) is gaining prominence for its capability to eliminate influences of Federated Learning (FL) users' data from trained global FL models. A straightforward FU method involves removing the unlearned users and subsequently retrai
Externí odkaz:
http://arxiv.org/abs/2406.00966
Autor:
Hu, Qi, Jiang, Weifeng, Li, Haoran, Wang, Zihao, Bai, Jiaxin, Mao, Qianren, Song, Yangqiu, Fan, Lixin, Li, Jianxin
The increasing demand for large-scale language models (LLMs) has highlighted the importance of efficient data retrieval mechanisms. Neural graph databases (NGDBs) have emerged as a promising approach to storing and querying graph-structured data in n
Externí odkaz:
http://arxiv.org/abs/2402.14609
Autor:
Jiang, Weifeng, Mao, Qianren, Lin, Chenghua, Li, Jianxin, Deng, Ting, Yang, Weiyi, Wang, Zheng
Many text mining models are constructed by fine-tuning a large deep pre-trained language model (PLM) in downstream tasks. However, a significant challenge nowadays is maintaining performance when we use a lightweight model with limited labelled sampl
Externí odkaz:
http://arxiv.org/abs/2305.12074
Publikováno v:
精准医学杂志, Vol 38, Iss 6, Pp 521-524 (2023)
Objective To investigate risk factors for short-term major adverse cardiovascular events (MACE) following percutaneous coronary intervention (PCI) in patients with acute myocardial infarction (AMI) with type 2 diabetes mellitus (T2DM). Methods We ret
Externí odkaz:
https://doaj.org/article/670e271263624e2fbebe74bc2e299b53
Autor:
Chen, Tingting1 (AUTHOR) chenting0617@163.com, Jiang, Weifeng2 (AUTHOR) casujiang89@cjlu.edu.cn, Li, Tong3 (AUTHOR) tong-li@uiowa.edu, Wang, Zhen4 (AUTHOR) zwang@whut.edu.cn, Lin, Junhao2 (AUTHOR)
Publikováno v:
Mathematics (2227-7390). Aug2024, Vol. 12 Issue 16, p2444. 20p.
Publikováno v:
In Optics Communications 15 December 2024 573
Publikováno v:
In Materials Today Communications December 2024 41