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Found 5 papers, 2 papers with code
Graphusion: A RAG Framework for Knowledge Graph Construction with a Global Perspective
Using the Graphusion-constructed KG, we achieve a significant improvement on the benchmark, for example, a 9. 2% accuracy improvement on sub-graph completion.
Graphusion: Leveraging Large Language Models for Scientific Knowledge Graph Fusion and Construction in NLP Education
Specifically, we introduce TutorQA, a new expert-verified benchmark for graph reasoning and QA, comprising six tasks and a total of 1, 200 QA pairs.
Leveraging Large Language Models for Concept Graph Recovery and Question Answering in NLP Education
We assess LLMs' zero-shot performance in creating domain-specific concept graphs and introduce TutorQA, a new expert-verified NLP-focused benchmark for scientific graph reasoning and QA.
Improving Explainable Recommendations with Synthetic Reviews
We demonstrate that the synthetic personalised reviews have better recommendation performance than human written reviews.
Automatic Generation of Natural Language Explanations
The model generates text reviews given a combination of the review and ratings score that express opinions about different factors or aspects of an item.
