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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. -
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in question-answering tasks but often struggle to integrate real-time knowledge updates, leading to potentially outdated or... -
SimpleQuestion dataset for Wikidata
The dataset used in this paper is a reinforcement learning dataset, specifically the SimpleQuestion dataset, which contains questions answerable using Wikidata as the knowledge...