Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Assessing Political Prudence of Open-domain Chatbots   Politically sensitive topics are still a challenge for open-domain chatbots.
However, dealing with politically sensitive content in a responsible,
non-partisan, and safe behavior way is integral for these chatbots. Currently,
the main approach to handling political sensitivity is by simply changing such
a topic when it is detected. This is safe but evasive and results in a chatbot
that is less engaging. In this work, as a first step towards a politically safe
chatbot, we propose a group of metrics for assessing their political prudence.
We then conduct political prudence analysis of various chatbots and discuss
their behavior from multiple angles through our automatic metric and human
evaluation metrics. The testsets and codebase are released to promote research
in this area.

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The categories of this paper are: solv-int
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The categories of this paper are: dg-ga
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The categories of this paper are: adap-org
18
The categories of this paper are: econ
10
The categories of this paper are: q-bio
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The categories of this paper are: hep-lat
2
The categories of this paper are: math
16
The categories of this paper are: stat
25
The categories of this paper are: patt-sol
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The categories of this paper are: math-ph
7
The categories of this paper are: hep-th
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The categories of this paper are: chem-ph
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The categories of this paper are: bayes-an
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The categories of this paper are: comp-gas
3
The categories of this paper are: physics
8
The categories of this paper are: hep-ex