Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Probing Commonsense Explanation in Dialogue Response Generation   Humans use commonsense reasoning (CSR) implicitly to produce natural and
coherent responses in conversations. Aiming to close the gap between current
response generation (RG) models and human communication abilities, we want to
understand why RG models respond as they do by probing RG model's understanding
of commonsense reasoning that elicits proper responses. We formalize the
problem by framing commonsense as a latent variable in the RG task and using
explanations for responses as textual form of commonsense. We collect 6k
annotated explanations justifying responses from four dialogue datasets and ask
humans to verify them and propose two probing settings to evaluate RG models'
CSR capabilities. Probing results show that models fail to capture the logical
relations between commonsense explanations and responses and fine-tuning on
in-domain data and increasing model sizes do not lead to understanding of CSR
for RG. We hope our study motivates more research in making RG models emulate
the human reasoning process in pursuit of smooth human-AI communication.

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The categories of this paper are: nlin
7
The categories of this paper are: hep-th
26
The categories of this paper are: bayes-an
18
The categories of this paper are: econ
0
The categories of this paper are: hep-ph
30
The categories of this paper are: q-alg
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The categories of this paper are: ao-sci
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The categories of this paper are: solv-int
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The categories of this paper are: hep-lat
25
The categories of this paper are: patt-sol
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The categories of this paper are: math
8
The categories of this paper are: hep-ex
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The categories of this paper are: adap-org
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The categories of this paper are: q-fin
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The categories of this paper are: q-bio
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The categories of this paper are: alg-geom