Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: MTG: A Benchmarking Suite for Multilingual Text Generation   We introduce MTG, a new benchmark suite for training and evaluating
multilingual text generation. It is the first and largest text generation
benchmark with 120k human-annotated multi-way parallel data for three tasks
(story generation, question generation, and title generation) across four
languages (English, German, French, and Spanish). Based on it, we set various
evaluation scenarios and make a deep analysis of several popular multilingual
generation models from different aspects. Our benchmark suite will encourage
the multilingualism for text generation community with more human-annotated
parallel data and more diverse generation scenarios.

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The categories of this paper are: nlin
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The categories of this paper are: q-bio
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The categories of this paper are: nucl-th
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The categories of this paper are: stat
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The categories of this paper are: adap-org
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The categories of this paper are: eess
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The categories of this paper are: ao-sci
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The categories of this paper are: quant-ph
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The categories of this paper are: math
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The categories of this paper are: comp-gas
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The categories of this paper are: patt-sol
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The categories of this paper are: funct-an
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The categories of this paper are: q-alg
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The categories of this paper are: q-fin
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The categories of this paper are: econ
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The categories of this paper are: solv-int