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EvaluationHard· NLI· attribution· automated evaluation
Should you replace human AIS rating with a single fine-...
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See plansA single-step NLI classifier is insufficient because it lacks the ability to distinguish between a model that is hallucinating and a model that is struggling with ambiguous input. By keeping a two-step structure—an interpretability pre-filter followed by an attribution pass—you maintain the ability to isolate where the failure occurred, which is critical for debugging and improving the system.