Tag: information retrieval

Researchers at VIT University Chennai have built a multi-stage retrieval-augmented AI system that combines hybrid document search with large language ...

Researchers in South Korea have developed RECUR, a retrieval-based framework using nonparametric masked language modeling that outperforms conventional methods in ...

A new survey in Artificial Intelligence Review organizes the fast-moving field of retrieval-augmented generation into a four-axis taxonomy spanning efficiency, ...

Researchers have built an ontology-driven GraphRAG framework that unifies fragmented levee data into a queryable knowledge graph, achieving 95.16 percent ...

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

A new neural framework called CMCE+BK combines extended candidate events with multi-level background knowledge to dramatically improve the mining of ...