Web: http://arxiv.org/abs/2206.11349

June 24, 2022, 1:10 a.m. | Eunbi Choi, Yongrae Jo, Joel Jang, Minjoon Seo

cs.LG updates on arXiv.org arxiv.org

Recent works have shown that attaching prompts to the input is effective at
conditioning Language Models (LM) to perform specific tasks. However, prompts
are always included in the input text during inference, thus incurring
substantial computational and memory overhead. Also, there is currently no
straightforward method of utilizing prompts that are longer than the maximum
input length of the LMs without incurring additional costs during inference. We
propose Prompt Injection (PI), a novel formulation of injecting the prompt into
the …

arxiv lg

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