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P. Steinbach

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#machine learning Preprint Jan 2026

Semantic Calibration Prevails Where Token Confidence Fails: Benchmarking Long-Form Scientific QA

This work introduces the first large-scale benchmark for UQ calibration in long-form, reasoning-demanding scientific QA, evaluating four UQ methods on 685,000 responses across up to 20 LLMs and seven datasets, supported by an extensible open-source framework whose shared-generation design enables reproducible cross-met...

Philip Müller, Nicholas Popovic, Michael Färber et al. · 4 citations · ⚡1

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