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papersSEP 12 04:00 UTC

Study Examines Multilingual LLM Weaknesses in Urdu and Low-Resource Languages

A new arXiv paper investigates how well multilingual large language models handle open-ended text generation in Urdu, a low-resource language. The authors argue that models marketed as multilingual often fall short in cultural and linguistic correctness outside high-resource languages. The work contributes to broader questions about the reliability of these systems for non-English users.

arXiv Urdu cultural and linguistic correctness low-resource-languages multilingual large language models non-English users

COVERAGE · 3 REPORTS · LINKS GO TO THE ORIGINAL OUTLETS

arXiv cs.LGMultilingual in Name Only? Cultural and Linguistic Weaknesses of LLMs in Urdu ↗SEP 11 04:00 UTC

arXiv cs.CLMultilingual in Name Only? Cultural and Linguistic Weaknesses of LLMs in Urdu ↗SEP 11 04:00 UTC

arXiv cs.AIMultilingual in Name Only? Cultural and Linguistic Weaknesses of LLMs in Urdu ↗SEP 12 04:00 UTC