Papers by Jae cheol Lee

1 papers
HAE-RAE Bench: Evaluation of Korean Knowledge in Language Models (2024.lrec-main)

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Challenge: Existing evaluation tools rely on translations of English datasets or translation-specific benchmarks such as WMT 21 to assess large language models.
Approach: They propose a dataset curated to challenge models lacking Korean cultural and contextual depth.
Outcome: The HAE-RAE Bench challenges models lacking Korean cultural and contextual depth by highlighting their aptitude for recalling Korean-specific knowledge and cultural contexts.

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