1 citations · 1 across the 2 of their papers we have counts for
4 papers
SE-VLN: A Self-Evolving Vision-Language Navigation Framework Based on Multimodal Large Language Models
Xiangyu Dong, Haoran Zhao, Jiang Gao +5
Recent advances in vision-language navigation (VLN) were mainly attributed to emerging large language models (LLMs). These methods exhibited excellent generalization capabilities i…
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…
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…