Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Recent Advances in Neural Text Generation: A Task-Agnostic Survey   In recent years much effort has been devoted to applying neural models to the
task of natural language generation. The challenge is to generate natural
human-like text, and to control the generation process. This paper presents a
task-agnostic survey of recent advances in neural text generation. These
advances have been achieved by numerous developments, which we group under the
following four headings: data construction, neural frameworks, training and
inference strategies, and evaluation metrics. Finally we discuss the future
directions for the development of neural text generation including neural
pipelines and exploiting back-ground knowledge.

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The categories of this paper are: comp-gas
37
The categories of this paper are: supr-con
7
The categories of this paper are: hep-th
31
The categories of this paper are: ao-sci
24
The categories of this paper are: dg-ga
35
The categories of this paper are: mtrl-th
4
The categories of this paper are: cond-mat
17
The categories of this paper are: q-fin
3
The categories of this paper are: physics
12
The categories of this paper are: nucl-th
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The categories of this paper are: solv-int
14
The categories of this paper are: math-ph
29
The categories of this paper are: funct-an
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The categories of this paper are: eess
28
The categories of this paper are: alg-geom
10
The categories of this paper are: q-bio