Papers with inference ability

2 papers
COSIGN: Contextual Facts Guided Generation for Knowledge Graph Completion (2024.naacl-long)

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Challenge: Existing methods for knowledge graph completion (KGC) are limited in generality and scalability due to poor contextual facts.
Approach: They propose a contextual facts collector and contextual facts organizer to enhance the inference ability of GM-based methods for various KGC tasks.
Outcome: The proposed model outperforms state-of-the-art methods in terms of performance.
RiTeK: A Dataset for Large Language Models Complex Reasoning over Textual Knowledge Graphs in Medicine (2026.findings-acl)

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Challenge: Existing methods for retrieving medical textual knowledge Graphs struggle to perform well, a study finds . existing methods struggle to provide accurate answers to complex questions, he says .
Approach: They synthesize user queries integrating diverse topological structures, relational information, and complex textual descriptions.
Outcome: a new dataset for medical textual knowledge graphs shows that existing methods struggle to perform well . main bottlenecks lie in the scarcity of existing medical TKGs and the limited expressiveness of their topological structures .

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