Web: http://arxiv.org/abs/2206.08082

June 17, 2022, 1:12 a.m. | Hyuhng Joon Kim, Hyunsoo Cho, Junyeob Kim, Taeuk Kim, Kang Min Yoo, Sang-goo Lee

cs.CL updates on arXiv.org arxiv.org

Large-scale pre-trained language models (PLMs) are well-known for being
capable of solving a task simply by conditioning a few input-label pairs dubbed
demonstrations on a prompt without being explicitly tuned for the desired
downstream task. Such a process (i.e., in-context learning), however, naturally
leads to high reliance on the demonstrations which are usually selected from
external datasets. In this paper, we propose self-generated in-context learning
(SG-ICL), which generates demonstrations for in-context learning from PLM
itself to minimize the reliance on …

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