4 papers
Token-Operations-Oriented Inference Optimization Techniques for Large Models
Shiguo Lian, Kai Wang, Zhaoxiang Liu +23
Large model inference optimization serves as a key foundation for supporting the scalable, low-cost, and highly stable operation of large model services. Centered on token-oriented…
Dynamic Fair Federated Learning Based on Reinforcement Learning
Weikang Chen, Junping Du, Yingxia Shao +2
Federated learning enables a collaborative training and optimization of global models among a group of devices without sharing local data samples. However, the heterogeneity of dat…
Topic model based on co-occurrence word networks for unbalanced short text datasets
Chengjie Ma, Junping Du, Meiyu Liang +1
We propose a straightforward solution for detecting scarce topics in unbalanced short-text datasets. Our approach, named CWUTM (Topic model based on co-occurrence word networks for…
Relation Extraction Model Based on Semantic Enhancement Mechanism
Peiyu Liu, Junping Du, Yingxia Shao +1
Relational extraction is one of the basic tasks related to information extraction in the field of natural language processing, and is an important link and core task in the fields…