When the Wrong Key Wins: Understanding and Detecting Hallucinations in LLMs
Large language models can hallucinate even when the knowledge required for a correct answer is already available. We study this failure through a latent-key view of inference, where answer selection depends on competition among associations acquired during pretraining. We show that model predictions can be highly sensi...