HIVE: Hidden-Evidence Verification for Hallucination Detection in Diffusion Large Language Models
HIVE, which compresses trajectory hidden states, selects informative step-layer evidence, and conditions a verifier through continuous prefix embeddings to produce a hallucination score and structured diagnostics, outperforms eight established baselines and a verifier-backbone-matched text-only control in all six setti...