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Author

Fabio James Fehr

2 papers indexed here

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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

A taxonomy of medical hallucination types and a clinician-validated error-injection pipeline that creates matched correct and error-injected responses are developed, finding that more specific rubrics better distinguish correct from hallucinated responses.

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

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