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Dataset · Hugging Face

s-nlp/KGQASubgraphsRanking

📰 News [12/2023] Publishing of the original paper "Large Language Models Meets Knowledge Graph to Answer Factoid Questions". This paper first introduces the novelty of the extracted subgraphs; which provide valuable information for different methods of ranking. The paper leveraged T5-like models, and achieve SOTA results with Graph2Text ranking. Dataset Summary KGQASubgraphsRanking is the total-packaged dataset for both publications mentioned in the News… See the full description on the dataset page: https://huggingface.co/datasets/s-nlp/KGQASubgraphsRanking.

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Created13 May 2024
Last updated at source23 February 2025
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  • 17 Oct 2026 Description: 📰 News [12/2023] Publishing of the original paper "Large Language Models Meets Knowledge Graph to Answer Factoid Questions". This paper first introduces the novelty of the extracted subgraphs; which provide valuable information for differe → 📰 News [12/2023] Publishing of the original paper "Large Language Models Meets Knowledge Graph to Answer Factoid Questions". This paper first introduces the novelty of the extracted subgraphs; which provide valuable information for differe

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Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.