Wenchu Li

Intricate Spatiotemporal Dependency Learning for Temporal Knowledge Graph Reasoning

2024 · ACM Transactions on Knowledge Discovery from Data

Knowledge Graph (KG) reasoning has been an interesting topic in recent decades. Most current researches focus on predicting the missing facts for incomplete KG. Nevertheless, Temporal KG (TKG) reasoning, which is to forecast future facts, …

Large Language Models as Code Executors: An Exploratory Study

2024 · arXiv (Cornell University)

The capabilities of Large Language Models (LLMs) have significantly evolved, extending from natural language processing to complex tasks like code understanding and generation. We expand the scope of LLMs' capabilities to a broader context, using …