mlsanityData to 7 Oct 2026

Prompt-Time Ontology-Driven Symbolic Knowledge Capture with Large Language Models

arXiv 2405.14012 ↗First posted 22 May 2024cs.AI cs.CLcited by 2

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Abstract (arXiv)

In applications such as personal assistants, large language models (LLMs) must consider the user's personal information and preferences. However, LLMs lack the inherent ability to learn from user interactions. This paper explores capturing personal information from user prompts using ontology and knowledge-graph approaches. We use a subset of the KNOW ontology, which models personal information, to train the language model on these concepts. We then evaluate the success of knowledge capture using a specially constructed dataset. Our code and datasets are publicly available at https://github.com/HaltiaAI/paper-PTODSKC

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 16 of its 22 references that are in the map. First posted on arXiv 22 May 2024.

Builds on

16 of 22 references.

References · 16

  1. 2023QLoRA: Efficient Finetuning of Quantized LLMscited by 3,355
  2. 2023Large Language Modelscited by 774
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  4. 2023LLMs4OL: Large Language Models for Ontology Learningcited by 75
  5. 2023Text2KGBench: A Benchmark for Ontology-Driven Knowledge Graph Generation from Textcited by 48
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  7. 2020CycleGT: Unsupervised Graph-to-Text and Text-to-Graph Generation via Cycle Trainingcited by 38
  8. 2023Towards Ontology Construction with Language Modelscited by 23
  9. 2023Neurosymbolic AI for Reasoning over Knowledge Graphs: A Surveycited by 21
  10. 2023Neurosymbolic AI -- Why, What, and Howcited by 18
  11. 2023Ontology engineering with Large Language Modelscited by 17
  12. 2023PIVOINE: Instruction Tuning for Open-world Information Extractioncited by 10
4 more
  1. 2013Ontology Guided Information Extraction from Unstructured Textcited by 5
  2. 2023Describing and Organizing Semantic Web and Machine Learning Systems in the SWeMLS-KGcited by 5
  3. 2022INFINITY: A Simple Yet Effective Unsupervised Framework for Graph-Text Mutual Conversioncited by 3
  4. 2024Prompt-Time Symbolic Knowledge Capture with Large Language Modelscited by 1

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Cited by year

Citing papers per year: 2024: 1; 2025: 1.

2 papers.

  1. 2025Large language models for artificial general intelligence (AGI): A survey of foundational principles and approachescited by 18
  2. 2024KNOW: A Real-World Ontology for Knowledge Capture with Large Language Modelscited by 1