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Dylan Bouchard

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#small language model Preprint Aug 2026

When Do Supervised UQ Ensembles Improve LLM Hallucination Detection? A Robustness Study

A supervised ensembling framework that trains a classifier over heterogeneous UQ-based scorer outputs on a small, domain-specific dataset of labeled LLM responses, then applies it to out-of-sample hallucination classification without retrieval, tools, or reference documents is studied.

Mohit Singh Chauhan, Vipin Gyanchandani, Dylan Bouchard · 0 citations