Papers with KG-based fact verification

3 papers
Fact Verification on Knowledge Graph via Programmatic Graph Reasoning (2025.findings-emnlp)

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Challenge: Existing methods for fact verification on knowledge graphs use implicit reasoning to predict entailment between claims and KG triples.
Approach: They propose a framework that integrates large language models for fact verification on knowledge graphs.
Outcome: The proposed framework outperforms existing methods on knowledge graphs with 86.82% accuracy.
Faithful Inference Chains Extraction for Fact Verification over Multi-view Heterogeneous Graph with Causal Intervention (2025.coling-main)

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Challenge: Existing methods for fact verification do not extract faithful inference chains due to the diversity of relation paths.
Approach: They propose a multi-view heterogeneous Graph with causal intervention to extract evidence graphs from the knowledge graph.
Outcome: The proposed model provides precise evidence graphs and achieves state-of-the-art performance on the public KG-based fact verification dataset FactKG.
KG-GPT: A General Framework for Reasoning on Knowledge Graphs Using Large Language Models (2023.findings-emnlp)

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Challenge: Using large language models for complex reasoning tasks on knowledge graphs remains unexplored.
Approach: They propose a multi-purpose framework leveraging large language models for complex reasoning tasks on knowledge graphs.
Outcome: The proposed framework outperforms fully-supervised models in KG-based fact verification and KGQA benchmarks.

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