Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding   For natural language understanding (NLU) technology to be maximally useful,
both practically and as a scientific object of study, it must be general: it
must be able to process language in a way that is not exclusively tailored to
any one specific task or dataset. In pursuit of this objective, we introduce
the General Language Understanding Evaluation benchmark (GLUE), a tool for
evaluating and analyzing the performance of models across a diverse range of
existing NLU tasks. GLUE is model-agnostic, but it incentivizes sharing
knowledge across tasks because certain tasks have very limited training data.
We further provide a hand-crafted diagnostic test suite that enables detailed
linguistic analysis of NLU models. We evaluate baselines based on current
methods for multi-task and transfer learning and find that they do not
immediately give substantial improvements over the aggregate performance of
training a separate model per task, indicating room for improvement in
developing general and robust NLU systems.

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The categories of this paper are: q-fin
34
The categories of this paper are: chem-ph
26
The categories of this paper are: bayes-an
9
The categories of this paper are: nlin
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The categories of this paper are: q-bio
29
The categories of this paper are: funct-an
27
The categories of this paper are: comp-gas
3
The categories of this paper are: physics
13
The categories of this paper are: quant-ph
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The categories of this paper are: chao-dyn
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The categories of this paper are: dg-ga
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The categories of this paper are: hep-th
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The categories of this paper are: astro-ph
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The categories of this paper are: adap-org
31
The categories of this paper are: ao-sci
28
The categories of this paper are: alg-geom