Papers with language-specific fine-tuned models

1 papers
MILU: A Multi-task Indic Language Understanding Benchmark (2025.naacl-long)

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Challenge: Existing benchmarks focus on English, leaving substantial gaps in assessing LLM capabilities in low-resource and linguistically diverse languages.
Approach: They propose a multi-task indic language understanding benchmark to assess LLMs in low-resource languages.
Outcome: The new benchmark spans 8 domains and 41 subjects across 11 Indic languages, reflecting general and culturally specific knowledge.

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