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Ryotaro Shimizu

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#machine learning Preprint Aug 2026

Looking in the Mirror: Introspecting Side-Effect Misalignments Induced by Fine-Tuning

Fine-tuning enables a source model to acquire desired capabilities and behaviors in a target domain while retaining much of its general-purpose competence. However, this adaptation process can also degrade alignment properties that were present in the source model. Recent work has shown that large language models can b...

K. Yoshida, Laura Gomezjurado Gonzalez, Yukinori Yamamoto et al. · 0 citations

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