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Author

Fabio James Fehr

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#artificial intelligence Preprint Sep 2026

Building Legal Reward Models for Grounding and Abstention

Large language models are increasingly used in high-stakes domains such as law, where systems must ground their reasoning in retrieved evidence and abstain when that evidence is insufficient. However, existing reward models are largely optimised for general preferences rather than contextual grounding, limiting their a...

Rilton Franzone, Valentin Noël, Pu-Yu Wang et al. · 0 citations
#artificial intelligence Preprint Sep 2026

When Rubrics Fail: Hallucinations Reveal Blind Spots in Medical AI Evaluation

Hallucinations can undermine clinician trust in LLMs, making it important that evaluation methods capture clinically relevant errors. Rubric-based evaluation has become the leading approach for assessing LLMs in medicine, but it is unclear whether rubric scores reflect such errors. We first study this in a controlled s...

Griffin Farrow, Lily Sijia Li, Jack Johnson et al. · 0 citations

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