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This work presents KoBigBird-large, a large size of Korean BigBird thatachieves state-of-the-art performance and allows long sequence processing forKorean language understanding. Without further pretraining, we only transformthe architecture and extend the positional encoding with our proposed TaperedAbsolute Positional Encoding Representations (TAPER). In experiments,KoBigBird-large shows state-of-the-art overall performance on Korean languageunderstanding benchmarks and the best performance on document classificationand question answering tasks for longer sequences against the competitivebaseline models. We publicly release our model here.

KoBigBird-large: Transformation of Transformer for Korean Language Understanding