multilingual-llms

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papersTODAY 04:00 UTC

Modular tokenizers proposed for efficient multilingual LLMs

A new arXiv paper argues that multilingual LLMs suffer from using one shared vocabulary across all supported languages, which produces uneven compression rates between languages. The authors also note that large embedding and output matrices raise memory demands and slow processing. Their proposed modular tokenizer design assigns separate tokenization components per language to address both issues.

multilingual/tokenization/llm-efficiency/research

papersSEP 10 04:00 UTC

5-Dialects-BN Benchmark Probes How Transliteration Affects Bangla Dialect LLMs

A new arXiv paper introduces 5-Dialects-BN, a resource covering five Bangla dialects used to examine how transliteration choices influence large language model performance. The work targets the sharp accuracy drops LLMs show on low-resource, dialectally diverse languages, with Bangla being the world's sixth most spoken language. The authors position script and transliteration practices as an underexamined factor in this degradation.

benchmarks/low-resource/nlp/multilingual