Temporal Multi-Signal Fusion for Token-Level Hallucination Detection
This paper treats hallucination as a temporally extended span and detects it by sequence labeling: each token is scored from a 33-dimensional feature stream that fuses text statistics, Natural Language Inference entailment, and language model surprisal, with no access to model internals.
Igor Itkin
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