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Knowledge Graph-Enhanced Large Language Models via Path Selection
Two datasets, MetaQA and FACTKG, are used to evaluate the effectiveness of the proposed method KELP. MetaQA is a critical benchmark dataset containing subsets of questions with... -
ALCUNA: Large Language Models Meet New Knowledge
ALCUNA is a benchmark for evaluating the ability of large language models (LLMs) to handle new knowledge. -
Microsoft Academic Graph
The Microsoft Academic Graph (MAG) dataset is used to construct Maple, a multi-field benchmark for evaluating scientific literature tagging. -
Microsoft Concept Graph
Microsoft Concept Graph is a knowledge graph that provides common-sense computing capabilities and an awareness of a human's mental world. -
Wikipedia-SVO
The dataset is used for multi-relational learning tasks, such as link prediction, RDF mining, entity linking, recommender systems, and natural language processing. -
FB15K-YAGO15K
The FB15K-YAGO15K dataset is a benchmark for multi-modal entity alignment. -
FB15K-DB15K
The FB15K-DB15K dataset is an entity alignment dataset of FB15K and DB15K MMKGs. -
ConceptNet
ConceptNet is an open, multilingual knowledge graph that focuses on general knowledge that relates the meanings of words and phrases. -
Retrieval-Augmented Knowledge Editing for Multi-Hop Question Answering in Lan...
Large Language Models (LLMs) have shown proficiency in question-answering tasks but often struggle to integrate real-time knowledge updates, leading to potentially outdated or...