Author

David Jurgens

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#artificial intelligence Preprint Sep 2026

HARISSA: Inference-Time Self-Checks for Efficient and Safe Local Language Model Deployment

Running a language model locally offers advantages in privacy, latency, and cost, but local hardware fits only small models, which are less capable than frontier models. The usual remedy for a hard query, escalating it to a cloud model, gives up the privacy and cost advantages of running locally. A deployment that stay...

Kenan Alkiek, Moontae Lee, David Jurgens et al. · 0 citations

#artificial intelligence Sep 2025

One Model, Many Morals: Uncovering Cross-Linguistic Misalignments in Computational Moral Reasoning

A controlled multilingual evaluation across six geographically, culturally, and linguistically diverse languages reveals a central disconnect in multilingual moral reasoning: language changes models'moral judgments and the training evidence associated with their reasoning, but does not correspondingly localize the mora...

Sualeha Farid, Jayden Lin, Zean Chen et al. · arXiv.org · 4 citations · ⚡1