Tag: knowledge graphs

A new study proves that similarity-based retrieval structurally cannot guarantee that an AI assistant's stored rules reach the model, and ...

Researchers have built a framework that uses large language models and knowledge graphs to automatically extract, structure, and query life ...

Researchers at China Jiliang University have combined fine-tuned large language models with graph attention networks to complete incomplete knowledge graphs ...

Researchers have developed DIRA, a model that combines dynamic entity embeddings with implicit relation-aware self-attention to significantly improve temporal knowledge ...

A new Nature Machine Intelligence commentary argues that biomedical discovery now requires deep research agents that construct explicit representations of ...

Researchers in Shanghai have developed DNMMA, a framework that cleans noise from both text and images in social media posts ...

A University of Cagliari study comparing recommendation algorithms across four educational datasets finds that the most accurate course recommenders are ...

Researchers have developed Cortex, an AI framework that uses retrieval-augmented generation, sentence embeddings and ESCO knowledge graphs to turn vague ...

Researchers have developed EDIRL, an adaptive relation linking method that boosts multihop question answering over knowledge graphs by choosing between ...

A new survey maps how knowledge graphs can fix the hallucinations, weak reasoning, and opacity of large language models through ...