Harnessing Large Language Models for Knowledge Graph Question Answering via Adaptive Multi-Aspect Retrieval-Augmentation
Summary
Harnessing Large Language Models for Knowledge Graph Question Answering via Adaptive Multi-Aspect Retrieval-Augmentation is a scholarly article[1].
Key Facts
Harnessing Large Language Models for Knowledge Graph Question Answering via Adaptive Multi-Aspect Retrieval-Augmentation's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Harnessing Large Language Models for Knowledge Graph Question Answering via Adaptive Multi-Aspect Retrieval-Augmentation. Retrieved May 24, 2026, from https://4ort.xyz/entity/harnessing-large-language-models-for-knowledge-graph-question-answering-via-adaptive-multi-aspect-retrieval-augmentation
MLA“Harnessing Large Language Models for Knowledge Graph Question Answering via Adaptive Multi-Aspect Retrieval-Augmentation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/harnessing-large-language-models-for-knowledge-graph-question-answering-via-adaptive-multi-aspect-retrieval-augmentation.
BibTeX@misc{4ortxyz_harnessing-large-language-models-for-knowledge-graph-question-answering-via-adaptive-multi-aspect-retrieval-augmentation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Harnessing Large Language Models for Knowledge Graph Question Answering via Adaptive Multi-Aspect Retrieval-Augmentation}}, year = {2026}, url = {https://4ort.xyz/entity/harnessing-large-language-models-for-knowledge-graph-question-answering-via-adaptive-multi-aspect-retrieval-augmentation}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Harnessing Large Language Models for Knowledge Graph Question Answering via Adaptive Multi-Aspect Retrieval-Augmentation — https://4ort.xyz/entity/harnessing-large-language-models-for-knowledge-graph-question-answering-via-adaptive-multi-aspect-retrieval-augmentation (retrieved 2026-05-24)
