Papers by Osman Tursun

1 papers
TUMLU: A Unified and Native Language Understanding Benchmark for Turkic Languages (2025.acl-long)

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Challenge: preparing native language MMLU benchmarks is costly and limits representativeness of evaluation datasets.
Approach: They propose to use a Turkic language MMLU benchmark to assess massive multitask language understanding capabilities.
Outcome: The proposed benchmarks are based on a Turkic language morphosyntactic and cultural benchmark . the benchmarks evaluate a diverse range of open and proprietary multilingual large language models .

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