Grounded Generation

Output produced by a language model that is explicitly tied to and supported by specific source documents or data, rather than relying solely on knowledge encoded in the model's weights. Grounded generation reduces hallucination and makes it possible to verify claims against sources. It is the core goal of retrieval-augmented generation systems.
See also: grounding, retrieval-augmented generation, hallucination.