no code implementations • 15 Nov 2023 • Zichen Chen, Jianda Chen, Mitali Gaidhani, Ambuj Singh, Misha Sra
The explanation component includes a why-choose explanation, a why-not-choose explanation, and a set of reason-elements that underlie the LLM's decision.
no code implementations • 29 Mar 2023 • Zichen Chen, Ambuj K Singh, Misha Sra
We propose LMExplainer, a knowledge-enhanced explainer for LMs that can provide human-understandable explanations.
no code implementations • 22 Feb 2023 • YuanYuan Chen, Zichen Chen, Sheng Guo, Yansong Zhao, Zelei Liu, Pengcheng Wu, Chengyi Yang, Zengxiang Li, Han Yu
Artificial intelligence (AI)-empowered industrial fault diagnostics is important in ensuring the safe operation of industrial applications.
1 code implementation • 10 Aug 2022 • YuanYuan Chen, Zichen Chen, Pengcheng Wu, Han Yu
To the best of our knowledge, FedOBD is the first approach to perform dropout on FL models at the block level rather than at the individual parameter level.
1 code implementation • 19 Oct 2021 • Jiao Peng, Feifan Wang, Zhongqiang Fu, Yiying Hu, Zichen Chen, Xinghan Zhou, Lijun Wang
Recent years have witnessed the advancement of deep learning vision technologies and applications in the medical industry.