6 papers
Large Language Model with Graph Convolution for Recommendation
Yingpeng Du, Ziyan Wang, Zhu Sun +6
In recent years, efforts have been made to use text information for better user profiling and item characterization in recommendations. However, text information can sometimes be o…
Single-modulated-pulse two-qubit gates for Rydberg atoms with noncyclic geometric control
Zi-Yuan Chen, Jia-Hao Liang, Zhao-Xin Fu +7
Arrays of neutral atoms have emerged as promising platforms for quantum computing. Realization of high-fidelity two-qubit gates with robustness is currently a significant important…
Proposal of detecting topological transition of quantum braiding in three-fold degenerate eigen subspace
Zhi-Wei Han, Jia-Hao Liang, Zhao-Xin Fu +8
The braiding operations of quantum states have attracted substantial attention due to their great potential for realizing topological quantum computations. In this paper, we show t…
Bridging the Information Gap Between Domain-Specific Model and General LLM for Personalized Recommendation
Wenxuan Zhang, Hongzhi Liu, Yingpeng Du +4
Generative large language models(LLMs) are proficient in solving general problems but often struggle to handle domain-specific tasks. This is because most of domain-specific tasks,…
Enhancing Job Recommendation through LLM-based Generative Adversarial Networks
Yingpeng Du, Di Luo, Rui Yan +4
Recommending suitable jobs to users is a critical task in online recruitment platforms, as it can enhance users' satisfaction and the platforms' profitability. While existing job r…
Measurement of non-Abelian gauge fields using multi-loop amplification
Qing-Xian Lv, Hong-Zhi Liu, Yan-Xiong Du +7
Non-Abelian gauge field (NAGF) plays a central role in understanding the geometrical and topological phenomena in physics. Here we experimentally induce a NAGF in the degenerate ei…