Lingbing Guo

Multi-view Knowledge Graph Embedding for Entity Alignment

2019 · arXiv (Cornell University)

We study the problem of embedding-based entity alignment between knowledge graphs (KGs). Previous works mainly focus on the relational structure of entities. Some further incorporate another type of features, such as attributes, for refinement. However, …

Have We Designed Generalizable Structural Knowledge Promptings? Systematic Evaluation and Rethinking

2024 · arXiv (Cornell University)

Large language models (LLMs) have demonstrated exceptional performance in text generation within current NLP research. However, the lack of factual accuracy is still a dark cloud hanging over the LLM skyscraper. Structural knowledge prompting (SKP) …