Hao-Nan Wang

Claim level graph reasoning for training free LLM hallucination mitigation

Large language models (LLMs) often generate fluent yet unsupported or contradicted claims, and such hallucinations become particularly harmful when expressed with high confidence. Existing mitigation methods typically verify responses at the answer level or rely on support-oriented retrieval, making it difficult to dis...