1 citations · 1 across the 3 of their papers we have counts for
4 papers
LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Recommender Systems
Jinzhi Wang, Bin Li, Qingke Peng +7
Conversational recommender systems (CRSs) often suffer from an extreme long-tail distribution of dialogue data, causing a strong bias toward head-frequency blockbusters that sacrif…
ElectriQ: A Benchmark for Assessing the Response Capability of Large Language Models in Power Marketing
Jinzhi Wang, Qingke Peng, Haozhou Li +7
As power systems decarbonise and digitalise, high penetrations of distributed energy resources and flexible tariffs make electric power marketing (EPM) a key interface between regu…
OrthoInsight: Rib Fracture Diagnosis and Report Generation Based on Multi-Modal Large Models
Ningyong Wu, Jiangbo Zhang, Wenhong Zhao +6
The growing volume of medical imaging data has increased the need for automated diagnostic tools, especially for musculoskeletal injuries like rib fractures, commonly detected via…
SubstationAI: Multimodal Large Model-Based Approaches for Analyzing Substation Equipment Faults
Jinzhi Wang, Qinfeng Song, Lidong Qian +3
The reliability of substation equipment is crucial to the stability of power systems, but traditional fault analysis methods heavily rely on manual expertise, limiting their effect…