Toward trustworthy diagnostic AI: debiasing and grounding large language models for seizure semiology interpretation

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13 Nov 2026 0 comments

Large language models (LLMs) have been proposed to map free-text seizure semiology to seizure-onset-zone (SOZ) likelihoods, but it remains unclear whether inference-time interventions can improve on the original SemioLLM benchmark without additional training. We evaluated two such interventions, candidate-order permutation within self-consistency and TF-IDF retrieval of case-specific labelled examples, individually and in combination (retrieval-augmented order-invariant self-consistency,...