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most citedWhat Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers

4 citations · 6 across the 5 of their papers we have counts for

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cs.CL2023

Exploiting the Potential of Seq2Seq Models as Robust Few-Shot Learners

Jihyeon Lee, Dain Kim, Doohae Jung +2

In-context learning, which offers substantial advantages over fine-tuning, is predominantly observed in decoder-only models, while encoder-decoder (i.e., seq2seq) models excel in m…