Search Results for author:
Found 2 papers, 1 papers with code
A Survey on Temporal Knowledge Graph: Representation Learning and Applications
Knowledge graph representation learning aims to learn low-dimensional vector embeddings for entities and relations in a knowledge graph.
BIBench: Benchmarking Data Analysis Knowledge of Large Language Models
To bridge this gap, we introduce BIBench, a comprehensive benchmark designed to evaluate the data analysis capabilities of LLMs within the context of Business Intelligence (BI).
Cannot find the paper you are looking for? You can
Submit a new open access paper.
