by Jaskirat Singh
Large language models generate convincing text regardless of factual accuracy. They cite nonexistent research papers, invent legal precedents, and state fabrications with the same confidence as verified facts. Traditional hallucination detection relies on using another LLM as a judge—essentially asking a system prone to hallucination whether it’s hallucinating. This circular




