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AI refusal directions show limited universality across low-resourced languages

By PulseAugur Editorial · [2 sources] ·

A new research paper investigates the universality of refusal directions in AI models across low-resourced languages. The study, which extended the PolyRefuse framework to Belarusian, Bashkir, and Tajik, found that while directions from aligned languages transfer broadly, those from misaligned languages show limited effectiveness. This suggests that safety guarantees may be weaker for users of the least-resourced and most misaligned languages. AI

IMPACT Suggests potential safety gaps for users of low-resourced languages with misaligned AI models.

RANK_REASON Research paper on AI safety and cross-lingual transfer of refusal directions.

Read on llama.cpp — Releases →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

AI refusal directions show limited universality across low-resourced languages

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Research paper on AI safety and cross-lingual transfer of refusal directions.
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paper, safety
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COVERAGE [2]

  1. llama.cpp — Releases TIER_1 (SO) · github-actions[bot] ·

    b11828

    <details open=""> <p>server: realtime API: send complete after committed audio drains (<a class="issue-link js-issue-link" href="https://github.com/ggml-org/llama.cpp/pull/30994">#30994</a>)</p> <ul> <li> <p>server: realtime API: send complete after committed audio drains</p> </l…

  2. arXiv cs.CL TIER_1 English(EN) · Anastasiia Ivanova ·

    Is Refusal Direction Universal across Low-Resourced Languages?

    arXiv:2610.28897v1 Announce Type: new Abstract: Refusal directions have been shown to transfer cross-lingually with near-perfect effectiveness across safety-aligned languages (Wang et al., 2025), reportedly regardless of resource level. However, the only truly low-resourced langu…

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