Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: AutoFR: Automated Filter Rule Generation for Adblocking   Adblocking relies on filter lists, which are manually curated and maintained
by a small community of filter list authors. This manual process is laborious
and does not scale well to a large number of sites and over time. We introduce
AutoFR, a reinforcement learning framework to fully automate the process of
filter rule creation and evaluation. We design an algorithm based on multi-arm
bandits to generate filter rules while controlling the trade-off between
blocking ads and avoiding breakage. We test our implementation of AutoFR on
thousands of sites in terms of efficiency and effectiveness. AutoFR is
efficient: it takes only a few minutes to generate filter rules for a site.
AutoFR is also effective: it generates filter rules that can block 86% of the
ads, as compared to 87% by EasyList while achieving comparable visual breakage.
The filter rules generated by AutoFR generalize well to new and unseen sites.
We envision AutoFR to assist the adblocking community in automated filter rule
generation at scale.

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The categories of this paper are: dg-ga
8
The categories of this paper are: hep-ex
35
The categories of this paper are: mtrl-th
19
The categories of this paper are: eess
15
The categories of this paper are: nucl-ex
31
The categories of this paper are: ao-sci
20
The categories of this paper are: acc-phys
11
The categories of this paper are: hep-lat
21
The categories of this paper are: adap-org
32
The categories of this paper are: atom-ph
6
The categories of this paper are: astro-ph
37
The categories of this paper are: supr-con
13
The categories of this paper are: quant-ph
9
The categories of this paper are: nlin
29
The categories of this paper are: funct-an
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The categories of this paper are: q-fin