1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.AI2026
EVGeoQA: Benchmarking LLMs on Dynamic, Multi-Objective Geo-Spatial Exploration
Jianfei Wu, Zhichun Wang, Zhensheng Wang +1
While Large Language Models (LLMs) demonstrate remarkable reasoning capabilities, their potential for purpose-driven exploration in dynamic geo-spatial environments remains under-i…
cs.CL2024★ 1 cited
LLM-Align: Utilizing Large Language Models for Entity Alignment in Knowledge Graphs
Xuan Chen, Tong Lu, Zhichun Wang
Entity Alignment (EA) seeks to identify and match corresponding entities across different Knowledge Graphs (KGs), playing a crucial role in knowledge fusion and integration. Embedd…
cs.CL2024★ 1 cited
DERA: Dense Entity Retrieval for Entity Alignment in Knowledge Graphs
Zhichun Wang, Xuan Chen
Entity Alignment (EA) aims to match equivalent entities in different Knowledge Graphs (KGs), which is essential for knowledge fusion and integration. Recently, embedding-based EA h…