Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Matching Papers and Reviewers at Large Conferences   This paper studies a novel reviewer-paper matching approach that was recently
deployed in the 35th AAAI Conference on Artificial Intelligence (AAAI 2021),
and has since been adopted by other conferences including AAAI 2022 and ICML
2022. This approach has three main elements: (1) collecting and processing
input data to identify problematic matches and generate reviewer-paper scores;
(2) formulating and solving an optimization problem to find good reviewer-paper
matchings; and (3) the introduction of a novel, two-phase reviewing process
that shifted reviewing resources away from papers likely to be rejected and
towards papers closer to the decision boundary. This paper also describes an
evaluation of these innovations based on an extensive post-hoc analysis on real
data -- including a comparison with the matching algorithm used in AAAI's
previous (2020) iteration -- and supplements this with additional numerical
experimentation.

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The categories of this paper are: funct-an
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The categories of this paper are: acc-phys
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The categories of this paper are: adap-org
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The categories of this paper are: patt-sol
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The categories of this paper are: hep-lat
36
The categories of this paper are: cmp-lg
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The categories of this paper are: alg-geom
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The categories of this paper are: gr-qc
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The categories of this paper are: q-bio
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The categories of this paper are: chem-ph
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The categories of this paper are: supr-con
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The categories of this paper are: nlin
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The categories of this paper are: cond-mat
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The categories of this paper are: hep-th
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The categories of this paper are: ao-sci
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The categories of this paper are: math