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Yosephine Susanto

2 accepted papers

2025

Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation

ACL 2025long

Reliable multilingual evaluation is difficult, and culturally appropriate evaluation is even harder to achieve.A common practice to fill this gap is to machine-translate English evaluation sets. However, translation introduces language bias and carries over cultural and regional assumptions from the…

Cited by 0SourcePDFScholar
2025

SEA-HELM: Southeast Asian Holistic Evaluation of Language Models

ACL 2025finding

With the rapid emergence of novel capabilities in Large Language Models (LLMs), the need for rigorous multilingual and multiculturalbenchmarks that are integrated has become more pronounced. Though existing LLM benchmarks are capable of evaluating specificcapabilities of LLMs in English as well as i…