Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: MSP: Multi-Stage Prompting for Making Pre-trained Language Models Better
  Translators   Prompting has recently been shown as a promising approach for applying
pre-trained language models to perform downstream tasks. We present Multi-Stage
Prompting (MSP), a simple and automatic approach for leveraging pre-trained
language models to translation tasks. To better mitigate the discrepancy
between pre-training and translation, MSP divides the translation process via
pre-trained language models into multiple separate stages: the encoding stage,
the re-encoding stage, and the decoding stage. During each stage, we
independently apply different continuous prompts for allowing pre-trained
language models better shift to translation tasks. We conduct extensive
experiments on three translation tasks. Experiments show that our method can
significantly improve the translation performance of pre-trained language
models.

22
The categories of this paper are: chao-dyn
10
The categories of this paper are: q-bio
2
The categories of this paper are: math
15
The categories of this paper are: nucl-ex
35
The categories of this paper are: mtrl-th
16
The categories of this paper are: stat
3
The categories of this paper are: physics
36
The categories of this paper are: cmp-lg
13
The categories of this paper are: quant-ph
29
The categories of this paper are: funct-an
21
The categories of this paper are: adap-org
34
The categories of this paper are: chem-ph
8
The categories of this paper are: hep-ex
30
The categories of this paper are: q-alg
26
The categories of this paper are: bayes-an
5
The categories of this paper are: gr-qc