6 citations · 6 across the 5 of their papers we have counts for
5 papers
Multi-level Mixture of Experts for Multimodal Entity Linking
Zhiwei Hu, Víctor Gutiérrez-Basulto, Zhiliang Xiang +2
Multimodal Entity Linking (MEL) aims to link ambiguous mentions within multimodal contexts to associated entities in a multimodal knowledge base. Existing approaches to MEL introdu…
Evaluating and Improving Graph to Text Generation with Large Language Models
Jie He, Yijun Yang, Wanqiu Long +3
Large language models (LLMs) have demonstrated immense potential across various tasks. However, research for exploring and improving the capabilities of LLMs in interpreting graph…
Multi-level Matching Network for Multimodal Entity Linking
Zhiwei Hu, Víctor Gutiérrez-Basulto, Ru Li +1
Multimodal entity linking (MEL) aims to link ambiguous mentions within multimodal contexts to corresponding entities in a multimodal knowledge base. Most existing approaches to MEL…
HyperFormer: Enhancing Entity and Relation Interaction for Hyper-Relational Knowledge Graph Completion
Zhiwei Hu, Víctor Gutiérrez-Basulto, Zhiliang Xiang +2
Hyper-relational knowledge graphs (HKGs) extend standard knowledge graphs by associating attribute-value qualifiers to triples, which effectively represent additional fine-grained…
Type-aware Embeddings for Multi-Hop Reasoning over Knowledge Graphs
Zhiwei Hu, Víctor Gutiérrez-Basulto, Zhiliang Xiang +3
Multi-hop reasoning over real-life knowledge graphs (KGs) is a highly challenging problem as traditional subgraph matching methods are not capable to deal with noise and missing in…