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Francesco Sovrano

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#artificial intelligence Preprint Sep 2026

LLM Alignment--Utility Asymmetry under Semantic-Preserving Transformations

Synthetic semantic-preserving transformations that are rule-based and invertible are used as a probe of alignment generalization and suggest that semantic-preserving distribution shifts can expose a recurring gap in how utility and alignment generalize in current LLMs.

Mo-Han Li, Cheng-Yu Yu, Francesco Sovrano et al. · 0 citations

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