Feb 9, 2022 · In this paper, we present a simple approach that uses both types of PLMs for fully zero-shot learning of NLU tasks without requiring any task- ...
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In this paper, we present a simple approach that uses both types of PLMs for fully zero-shot learning of NLU tasks without requiring any task-specific data: A ...
SuperGen is a Supervision Generation method for zero-shot learning on NLU tasks. Instead of training on task-specific data, SuperGen generates training data ...
Oct 31, 2022 · In this paper, we present a simple approach that uses both types of PLMs for fully zero-shot learning of NLU tasks without requiring any task- ...
Apr 3, 2024 · In this paper, we present a simple approach that uses both types of PLMs for fully zero-shot learning of NLU tasks without requiring any task- ...
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Oct 12, 2022 · In this paper, we present a simple approach that uses both types of PLMs for fully zero-shot learning of NLU tasks without requiring any task- ...
In this paper, we present a simple approach that uses both types of PLMs for fully zero-shot learning of NLU tasks without requiring any task-specific data: A ...
Abstract. Can we construct a neural language model which is inductively biased towards learning human language? Motivated by this question, ...
Missing: Generating Understanding.
Pretrained language models have improved zero-shot text classification by allowing the transfer of semantic knowledge from the training data in order to ...
This paper presents a training data creation procedure named Unsupervised Data Generation (UDG), which leverages few-shot prompts to synthesize high-quality ...