Research3h ago
Recall Bottlenecks Limit Parametric Factuality
A new Google AI Research study identifies recall failure as the primary driver of hallucinations in large language models. The researchers found that models often possess the correct knowledge but fail to retrieve it during generation. This distinction separates knowledge gaps from retrieval errors. Practitioners must now prioritize decoding strategies over further dataset expansion to improve accuracy.