Oct 24, 2022 · In this paper, we propose ELMER: an efficient and effective PLM for NAR text generation to explicitly model the token dependency during NAR generation.
In this paper, we propose ELMER: an Efficient and Effective PLM for NAR tExt geneRation, to explicitly learn the bi-directional token dependency. Typically, ...
We propose ELMER: an Efficient and Effective PLM for NAR text generation, which generates tokens at different layers by leveraging the early exit technique.
ELMER is proposed: an efficient and effective PLM for NAR text generation to explicitly model the token dependency during NAR generation by leveraging the ...
ELMER is an efficient and effective PLM for NAR text generation, which generates tokens at different layers by leveraging the early exit technique.
We study the text generation task under the approach of pre-trained languagemodels (PLMs). Typically, an auto-regressive (AR) method is adopted ...
In this paper, we mainly focus on the NAR approach, considering both effectiveness and efficiency for text generation models. 4 Approach. Refer to caption ...
... Non-Autoregressive Pre-trained Language Model for Efficient and Effective Text Generation ... ELMER is proposed: an efficient and effective PLM for NAR text ...
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Jan 10, 2023 · A paper at EMNLP 2022 proposed a method called ELMER [Li, Junyi, et al. “ELMER: A Non-Autoregressive Pre-trained Language Model for Efficient ...
ELMER: A Non-Autoregressive Pre-trained Language Model for Efficient and Effective Text Generation ... In this paper, we propose ELMER: an efficient and effective ...