Knowledge Graph Framework Secures Large Language Models in Smart Grids
A knowledge-grounded security assessment framework improves risk quantification and cross-domain access verification for large language models in smart-grid operations.
A knowledge-grounded security assessment framework improves risk quantification and cross-domain access verification for large language models in smart-grid operations.
A systematic review of fourteen studies finds large language models perform well on structured infection control tasks but fall short ...
A bibliometric review of 483 studies finds large language model research in healthcare simulation education has surged since 2025, yet ...
A study of four multimodal AI models across 56 cities finds they can predict perceived street safety from images but ...
A single-center study found a large language model exactly matched adjudicated expert severity classifications in 49 percent of 286 hospital ...
Researchers have documented two actively deforming slopes in West Greenland's Uummannaq Fjord system that could generate tsunamis affecting the entire ...
Researchers evaluated domain adaptation and fine-tuning of five large language models for radiology impression generation across 3.1 million reports, finding ...
A Nature Human Behaviour review maps how large language models act as subjects, assistants, collaborators and evaluators in computational social ...
A study of 5,000 Turkish tweets found that SHAP offered detailed feature attributions while local LLM explanations were clearer, with ...
A survey of 297 physicians and scientists found differences in perceived equity, leadership opportunities and belonging among women, older adults ...
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© 2025 Scienmag - Science Magazine