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Travel-Oriented Reasoning Large Language Model via Domain-Specific Knowledge Graphs

A paper proposing a modular pipeline for building a travel-domain reasoning LLM grounded in an expert-designed knowledge graph.

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Travel-Oriented Reasoning Large Language Model via Domain-Specific Knowledge Graphs

By Vignesh Ram Nithin Kappagantula, Shayan Hassantabar, Samuel Simpson, Golnaz MoallemarXiv
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The authors propose a modular pipeline to build a travel-domain reasoning large language model (LLM) using a domain-specific knowledge graph. The pipeline integrates a travel KG, bottom-up construction procedure, and supervised fine-tuning stage to embed domain knowledge into the LLM.

The approach achieves high accuracy on a benchmark dataset.

Abstract

The authors propose a modular pipeline to build a travel-domain reasoning large language model (LLM) using a domain-specific knowledge graph. The pipeline integrates a travel KG, bottom-up construction procedure, and supervised fine-tuning stage to embed domain knowledge into the LLM. The approach achieves high accuracy on a benchmark dataset.

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travel-oriented reasoningdomain-specific knowledge graphslarge language modelsexpert-designed knowledge graphmodular pipelinebenchmark datasetKnowledge GraphsLarge Language ModelsSemantic InteroperabilityOntology & Taxonomy
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