Unverified50% confidenceFactExact time
Indian languages account for a far smaller share of the training corpora of large language models than English, which leads to relatively weak safety guardrails for the model on languages such as Hindi.
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50%
Confidence
Long-term
Relevance
10/16/2026
First Seen
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Related Claims
VerifiedThe safety alignment of many models degrades significantly in non-English languages, and low-resource languages are especially easy to exploit because the human annotation data for RLHF alignment training is highly concentrated in English.76% similarUnverifiedTraditional n-gram models and neural language models trained on a single language assign extremely low probability scores to cross-lingual word sequences, causing the decoder to tend to forcibly map foreign-language words to phonetically similar words in the target language.74% similarUnverifiedIn the NLP field, low-resource languages refer to languages lacking large-scale annotated corpora, pre-trained models, and benchmark datasets, and Nepali falls into this category.73% similar
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