6 citations · 8 across the 4 of their papers we have counts for
5 papers
From Theory to Application: Fine-Tuning Large EEG Model with Real-World Stress Data
Siwen Wang, Shitou Zhang, Wan-Lin Chen +2
Recent advancements in Large Language Models have inspired the development of foundation models across various domains. In this study, we evaluate the efficacy of Large EEG Models…
ArcMMLU: A Library and Information Science Benchmark for Large Language Models
Shitou Zhang, Zuchao Li, Xingshen Liu +2
In light of the rapidly evolving capabilities of large language models (LLMs), it becomes imperative to develop rigorous domain-specific evaluation benchmarks to accurately assess…
BatGPT: A Bidirectional Autoregessive Talker from Generative Pre-trained Transformer
Zuchao Li, Shitou Zhang, Hai Zhao +2
BatGPT is a large-scale language model designed and trained jointly by Wuhan University and Shanghai Jiao Tong University. It is capable of generating highly natural and fluent tex…
ArcGPT: A Large Language Model Tailored for Real-world Archival Applications
Shitou Zhang, Jingrui Hou, Siyuan Peng +3
Archives play a crucial role in preserving information and knowledge, and the exponential growth of such data necessitates efficient and automated tools for managing and utilizing…
Semantics-Preserved Distortion for Personal Privacy Protection in Information Management
Jiajia Li, Lu Yang, Letian Peng +4
In recent years, machine learning - particularly deep learning - has significantly impacted the field of information management. While several strategies have been proposed to rest…