Cross-domain transfer analysis on WebNLG further shows that example-specific pattern overlap and register similarity are stronger predictors of transferability than property-set overlap alone, and long-tail property distributions are identified as the primary performance bottleneck.
We present EXYGEN (EXplore Your Graphs ENgine), a framework for knowledge graph (KG) understanding that enables conversational access to KGs at scale. We address two questions in sequence. First, how effectively can LLMs perform text-to-SPARQL generation given only automatically derived structured metadata and small gr...
Harshdeep Singh, Yu-Rui Zhu, Giovanni Colavizza et al.· 0 citations
Document-level relation extraction (DocRE) aims to extract relations among multiple entities across extended contexts while maintaining consistency across predicted triples. Although large language models (LLMs) show remarkable reasoning capabilities in information extraction, their predictions are typically generated...
autoschema improves mean factoid accuracy over TogoMCP in the biomedical KGQA tasks and gives consistent gains in the longitudinal BioASQ evaluation, and reduces iteration budget exhaustion and uses fewer tool calls on average in the core evaluation.
Results indicate that integrating multi-source domain knowledge with relation-preserved retrieval and attribute-supported filtering provides more focused and inspectable evidence, thereby supporting more accurate complex material question answering.
Peize Li, Xi Guo, Nan Yin et al.· Electronics· 0 citations
The Evidence-Grounded Typed Knowledge Graph (EGT-KG), a retrieval framework to improve information retrieval with local SLMs is proposed, showing that EGT-KG outperforms the vanilla RAG method in most settings, with the best improvement from llama3:8b.
Mu-Ran Yu, Jie-Chao Gao, Yuan-Dong Pan et al.· 0 citations
Findings show that model size alone is an insufficient selection criterion for OL and provide empirical guidance for reproducible LLM-assisted ontology engineering and indicate that architecture and model lineage can outweigh nominal parameter count.
Hamed Babaei Giglou, S. Auer, Jennifer D'Souza· 0 citations
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