no code implementations • 28 Mar 2024 • Yuxuan Yao, Han Wu, Zhijiang Guo, Biyan Zhou, Jiahui Gao, Sichun Luo, Hanxu Hou, Xiaojin Fu, Linqi Song
Large language models (LLMs) have demonstrated outstanding performance across various tasks, yet they still exhibit limitations such as hallucination, unfaithful reasoning, and toxic content.
1 code implementation • 10 Mar 2024 • Yuxuan Yao, Sichun Luo, Haohan Zhao, Guanzhi Deng, Linqi Song
We present CNER-UAV, a fine-grained \textbf{C}hinese \textbf{N}ame \textbf{E}ntity \textbf{R}ecognition dataset specifically designed for the task of address resolution in \textbf{U}nmanned \textbf{A}erial \textbf{V}ehicle delivery systems.
no code implementations • 25 Jan 2024 • Sichun Luo, Yuxuan Yao, Bowei He, Yinya Huang, Aojun Zhou, Xinyi Zhang, Yuanzhang Xiao, Mingjie Zhan, Linqi Song
Conventional recommendation methods have achieved notable advancements by harnessing collaborative or sequential information from user behavior.
1 code implementation • 26 Dec 2023 • Sichun Luo, Bowei He, Haohan Zhao, Wei Shao, Yanlin Qi, Yinya Huang, Aojun Zhou, Yuxuan Yao, Zongpeng Li, Yuanzhang Xiao, Mingjie Zhan, Linqi Song
Large Language Models (LLMs) have demonstrated remarkable capabilities and have been extensively deployed across various domains, including recommender systems.
1 code implementation • 12 Oct 2023 • Yuxuan Yao, Han Wu, Qiling Xu, Linqi Song
General-purpose text decoding approaches are usually adopted for dialogue response generation.