Papers by Hsi-Yu Chen

1 papers
FormosanBench: Benchmarking Low-Resource Austronesian Languages in the Era of Large Language Models (2025.findings-emnlp)

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Challenge: Existing LLMs consistently underperform across all tasks, with 10-shot learning and fine-tuning offering only limited improvements.
Approach: They introduce FormosanBench, a benchmark for evaluating LLMs on low-resource Austronesian languages.
Outcome: The proposed benchmark covers three endangered Formosan languages: Atayal, Amis, and Paiwan . existing LLMs consistently underperform across all tasks, with 10-shot learning and fine-tuning offering only limited improvements.

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