Research2h ago
Recall Bottlenecks Limit Parametric Factuality
A new Google AI Research study identifies recall failure as the primary cause 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 simply increasing training data size.