Author

Dylan Bouchard

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Preprint Aug 2026

Beyond Single-Turn Confidence: Trajectory-Adapted Uncertainty Quantification for LLM Agents

UQ methods developed for single generations should be revalidated at the trajectory level, with careful attention to the consistency measurement, aggregator choice, and computational budget.

Dylan Bouchard, Mohit Singh Chauhan · 1 citation

#machine learning 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