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Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models
AbstractPrompting language models (LMs) with training examples and task descriptions has been seen as critical to recent successes in few-shot learning. In this work, we show that finetuning LMs in …...
Multilingual Relation Classification via Efficient and Effective Prompting
AbstractPrompting pre-trained language models has achieved impressive performance on various NLP tasks, especially in low data regimes. Despite the success of prompting in monolingual settings, applying prompt-based methods in multilingual …...