Papers with FactKG dataset

2 papers
ClaimPKG: Enhancing Claim Verification via Pseudo-Subgraph Generation with Lightweight Specialized LLM (2025.findings-acl)

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Challenge: Existing verification methods rely on unstructured text corpora to break down claims . despite strong reasoning abilities, modern LLMs struggle with modular pipelines .
Approach: They propose a framework that integrates knowledge graphs with LLM reasoning . they propose KGs provide structured, semantically rich representations .
Outcome: The proposed framework outperforms baselines on the FactKG dataset by 9%-12% accuracy points across multiple categories.
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.

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