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HIVE: Hidden-Evidence Verification for Hallucination Detection in Diffusion Large Language Models
Diffusion large language models generate text through iterative denoising, exposing hidden trajectories that may contain reliability signals beyond the final output. We propose HIVE, which compresses trajectory hidden states, selects informative step-layer evidence, and conditions a verifier through
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