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cs.AI2026
Structure-Internalized Rule Language Model for Faithful Knowledge Graph Reasoning
Xingrui Zhuo, Jiapu Wang, Manzong Huang +2
Knowledge Graph Reasoning (KGR) aims to discover latent facts by leveraging the structural evidence available in KGs, posing a challenge to the structural semantic understanding ca…
cs.CL2026
Relink: Constructing Query-Driven Evidence Graph On-the-Fly for GraphRAG
Manzong Huang, Chenyang Bu, Yi He +2
Graph-based Retrieval-Augmented Generation (GraphRAG) mitigates hallucinations in Large Language Models (LLMs) by grounding them in structured knowledge. However, current GraphRAG…
cs.CL2026
Knowledge Restoration-driven Prompt Optimization: Unlocking LLM Potential for Open-Domain Relational Triplet Extraction
Xiaonan Jing, Gongqing Wu, Xingrui Zhuo +2
Open-domain Relational Triplet Extraction (ORTE) aims to mine structured knowledge without predefined relation schemas. Large Language Models (LLMs) have advanced ORTE toward a pro…