no code implementations • 21 Feb 2024 • Kaijie Zhu, Jindong Wang, Qinlin Zhao, Ruochen Xu, Xing Xie
Our multifaceted analysis demonstrated the strong correlation between the basic abilities and an implicit Matthew effect on model size, i. e., larger models possess stronger correlations of the abilities.
1 code implementation • 13 Dec 2023 • Kaijie Zhu, Qinlin Zhao, Hao Chen, Jindong Wang, Xing Xie
The evaluation of large language models (LLMs) is crucial to assess their performance and mitigate potential security risks.
no code implementations • 26 Oct 2023 • Qinlin Zhao, Jindong Wang, Yixuan Zhang, Yiqiao Jin, Kaijie Zhu, Hao Chen, Xing Xie
Large language models (LLMs) have been widely used as agents to complete different tasks, such as personal assistance or event planning.