新闻
The Illusion of Cross-Lingual Safety in Low-Resource Languages
arXiv cs.AI · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- Research shows safety guardrails in large language models fail to transfer to low-resource African languages, with harmful prompts retaining less than 10% of English refusal signals.
- 为何重要
- Teams deploying multilingual LLMs should care, especially when serving users in Twi, Hausa, Amharic, Swahili, or similar low-resource languages where safety assumptions may not hold.
- 注意
- Study covers four African languages only; findings may not generalize to all low-resource languages or to different model architectures and safety training approaches.
收听本摘要
- llm
- language model
- prompt
- eval
这条新闻背后的模式
- MAPS: Multilingual Agent Performance & Security
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- Eval-Driven Development (Agent CI)
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