Tag: retrieval-augmented generation

Researchers in China combined a fine-tuned large language model with a TWTA fault knowledge graph to achieve a 94.56 percent ...

Researchers have developed an incremental k-nearest-neighbor graph construction that guarantees connectivity by design, dramatically improving spectral clustering of text embeddings ...

A harmonised benchmark of lexical models, biomedical transformers and retrieval-grounded large language models shows that internal test scores fail to ...

The University at Albany's patent-pending GrantsMate platform uses retrieval-augmented generation and memory-based AI to unify funding discovery, collaborator identification and ...

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

A new systematic review of 177 studies maps how symbolic AI, from knowledge graphs to formal logic, can be integrated ...

Researchers at Shanghai Jiao Tong University have developed LMA-DPP, an LLM-driven multi-agent copilot that translates natural-language hazard advisories into validated ...

The first prospective real-world safety evaluation of a publicly deployed Parkinson's disease AI chatbot found favourable automated quality scores alongside ...

A University of Turku study found ChatGPT-4o, guided by a retrieval-augmented grading framework, matched human examiners' official scores on Finland's ...