mlsanityData to 14 Oct 2026

Leveraging LLMs in Scholarly Knowledge Graph Question Answering

arXiv 2311.09841 ↗First posted 16 Nov 2023cs.CL cs.AI cs.DBcited by 13

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Abstract (arXiv)

This paper presents a scholarly Knowledge Graph Question Answering (KGQA) that answers bibliographic natural language questions by leveraging a large language model (LLM) in a few-shot manner. The model initially identifies the top-n similar training questions related to a given test question via a BERT-based sentence encoder and retrieves their corresponding SPARQL. Using the top-n similar question-SPARQL pairs as an example and the test question creates a prompt. Then pass the prompt to the LLM and generate a SPARQL. Finally, runs the SPARQL against the underlying KG - ORKG (Open Research KG) endpoint and returns an answer. Our system achieves an F1 score of 99.0%, on SciQA - one of the Scholarly-QALD-23 challenge benchmarks.

Key facts. Cited by 13 papers in the map (data through 14 Oct 2026). Builds on 9 of its 18 references that are in the map. First posted on arXiv 16 Nov 2023.

Builds on

9 of 18 references.

References · 9

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
  2. 2020Language Models are Few-Shot Learnerscited by 32,419
  3. 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,599
  4. 2022Out of One, Many: Using Language Models to Simulate Human Samplescited by 752
  5. 2022Large Language Models are few(1)-shot Table Reasonerscited by 116
  6. 2023Evaluating Open-Domain Question Answering in the Era of Large Language Modelscited by 111
  7. 2023DBLP-QuAD: A Question Answering Dataset over the DBLP Scholarly Knowledge Graphcited by 18
  8. 2020Question Answering on Scholarly Knowledge Graphscited by 7
  9. 2023GETT-QA: Graph Embedding based T2T Transformer for Knowledge Graph Question Answeringcited by 6

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 1; 2024: 5; 2025: 6; 2026: 1.

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  1. 2023Are Large Language Models Good Fact Checkers: A Preliminary Studycited by 8
  2. 2025CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMscited by 8
  3. 2024SPARQL Generation with Entity Pre-trained GPT for KG Question Answeringcited by 6
  4. 2024Way to Specialist: Closing Loop Between Specialized LLM and Evolving Domain Knowledge Graphcited by 6
  5. 2025FIRESPARQL: A LLM-based Framework for SPARQL Query Generation over Scholarly Knowledge Graphscited by 5
  6. 2025ARUQULA -- An LLM based Text2SPARQL Approach using ReAct and Knowledge Graph Exploration Utilitiescited by 3
  7. 2024Scholarly Question Answering using Large Language Models in the NFDI4DataScience Gatewaycited by 2
  8. 2024Contri(e)ve: Context + Retrieve for Scholarly Question Answeringcited by 2
  9. 2025KERL: Knowledge-Enhanced Personalized Recipe Recommendation using Large Language Modelscited by 2
  10. 2025Enhancing Manufacturing Knowledge Access with LLMs and Context-aware Promptingcited by 2
  11. 2024PKG API: A Tool for Personal Knowledge Graph Managementcited by 1
  12. 2025How do Scaling Laws Apply to Knowledge Graph Engineering Tasks? The Impact of Model Size on Large Language Model Performancecited by 1
1 more
  1. 2026Reading Between the Citations: A Typed Claim Network for Scientific Literaturecited by 0