Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: RELIC: Retrieving Evidence for Literary Claims   Humanities scholars commonly provide evidence for claims that they make about
a work of literature (e.g., a novel) in the form of quotations from the work.
We collect a large-scale dataset (RELiC) of 78K literary quotations and
surrounding critical analysis and use it to formulate the novel task of
literary evidence retrieval, in which models are given an excerpt of literary
analysis surrounding a masked quotation and asked to retrieve the quoted
passage from the set of all passages in the work. Solving this retrieval task
requires a deep understanding of complex literary and linguistic phenomena,
which proves challenging to methods that overwhelmingly rely on lexical and
semantic similarity matching. We implement a RoBERTa-based dense passage
retriever for this task that outperforms existing pretrained information
retrieval baselines; however, experiments and analysis by human domain experts
indicate that there is substantial room for improvement over our dense
retriever.

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The categories of this paper are: math-ph
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The categories of this paper are: eess
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The categories of this paper are: math
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The categories of this paper are: dg-ga
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The categories of this paper are: ao-sci
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The categories of this paper are: bayes-an
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The categories of this paper are: hep-ex
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The categories of this paper are: quant-ph
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The categories of this paper are: nucl-ex
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The categories of this paper are: hep-lat
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The categories of this paper are: chem-ph
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The categories of this paper are: solv-int
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The categories of this paper are: astro-ph
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The categories of this paper are: gr-qc
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The categories of this paper are: supr-con
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The categories of this paper are: q-alg