Endowing Language Models with Multimodal Knowledge Graph Representations
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Abstract (arXiv)
We propose a method to make natural language understanding models more parameter efficient by storing knowledge in an external knowledge graph (KG) and retrieving from this KG using a dense index. Given (possibly multilingual) downstream task data, e.g., sentences in German, we retrieve entities from the KG and use their multimodal representations to improve downstream task performance. We use the recently released VisualSem KG as our external knowledge repository, which covers a subset of Wikipedia and WordNet entities, and compare a mix of tuple-based and graph-based algorithms to learn entity and relation representations that are grounded on the KG multimodal information. We demonstrate the usefulness of the learned entity representations on two downstream tasks, and show improved performance on the multilingual named entity recognition task by 0.3%--0.7% F1, while we achieve up to 2.5% improvement in accuracy on the visual sense disambiguation task. All our code and data are available in: urlhttps://github.com/iacercalixto/visualsem-kg.
Key facts. Cited by 11 papers in the map (data through 14 Oct 2026). Builds on 34 of its 48 references that are in the map. First posted on arXiv 27 Jun 2022.
Builds on
34 of 48 references.
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Citing papers per year: 2022: 2; 2023: 3; 2024: 4; 2025: 1; 2026: 1.
11 papers.
- 2023Unifying Large Language Models and Knowledge Graphs: A Roadmapcited by 668
- 2023Large Language Models and Knowledge Graphs: Opportunities and Challengescited by 71
- 2024Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Surveycited by 53
- 2022Weisfeiler and Leman Go Relationalcited by 28
- 2023A Multi-Task Perspective for Link Prediction with New Relation Types and Nodescited by 24
- 2024Noise-powered Multi-modal Knowledge Graph Representation Frameworkcited by 7
- 2024Fusing Domain-Specific Content from Large Language Models into Knowledge Graphs for Enhanced Zero Shot Object State Classificationcited by 3
- 2024Zero-Shot Relational Learning for Multimodal Knowledge Graphscited by 3
- 2022A Unified Knowledge Graph Augmentation Service for Boosting Domain-specific NLP Taskscited by 1
- 2025Towards Multimodal Graph Large Language Modelcited by 0
- 2026LLMs+Graphs: Toward Graph-Native, Synergistic AI Systemscited by 0
- 2026LLMs+Graphs: Toward Graph-Native, Synergistic AI Systems10 Jun 2026
- 2025Towards Multimodal Graph Large Language Model11 Jun 2025
- 2024Zero-Shot Relational Learning for Multimodal Knowledge Graphs9 Apr 2024
- 2024Fusing Domain-Specific Content from Large Language Models into Knowledge Graphs for Enhanced Zero Shot Object State Classification18 Mar 2024
- 2024Noise-powered Multi-modal Knowledge Graph Representation Framework11 Mar 2024
- 2024Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey8 Feb 2024
- 2023Large Language Models and Knowledge Graphs: Opportunities and Challenges11 Aug 2023
- 2023A Multi-Task Perspective for Link Prediction with New Relation Types and Nodes12 Jul 2023
- 2023Unifying Large Language Models and Knowledge Graphs: A Roadmap14 Jun 2023
- 2022A Unified Knowledge Graph Augmentation Service for Boosting Domain-specific NLP Tasks10 Dec 2022
- 2022Weisfeiler and Leman Go Relational30 Nov 2022