ACM Journal (acmart)

%% ACM journal template — uses the official acmart class (TeX Live).
%% The `acmsmall` option is the standard single-column journal format used by
%% ACM journals such as TOG, TOSEM, TALLIP, and JACM.
\documentclass[acmsmall,screen]{acmart}

\usepackage{booktabs}

%% Journal / submission metadata (replace with the target journal's values).
\acmJournal{JACM}
\acmVolume{1}
\acmNumber{1}
\acmArticle{1}
\acmYear{2026}
\acmMonth{1}
\setcopyright{acmlicensed}

\begin{document}

\title{A Template for ACM Journal Articles}

\author{First A. Author}
\affiliation{%
  \institution{University of Example}
  \city{City}
  \country{Country}}
\email{author@example.edu}

\author{Second B. Author}
\affiliation{%
  \institution{Example Research Lab}
  \city{City}
  \country{Country}}
\email{second@example.com}

\begin{abstract}
This document is a template for ACM journal submissions using the
\texttt{acmart} class in \texttt{acmsmall} mode. It demonstrates the title
block, authors and affiliations, abstract, CCS concepts, keywords, and a
bibliography formatted with the ACM Reference Format.
\end{abstract}

\begin{CCSXML}
<ccs2012>
<concept>
<concept_id>10010147.10010257</concept_id>
<concept_desc>Computing methodologies~Machine learning</concept_desc>
<concept_significance>500</concept_significance>
</concept>
</ccs2012>
\end{CCSXML}
\ccsdesc[500]{Computing methodologies~Machine learning}

\keywords{ACM, journal template, LaTeX, acmart}

\maketitle

\section{Introduction}
This template targets ACM journals. Foundational results in the area include
deep representation learning~\cite{lecun2015deep} and residual
networks~\cite{he2016deep}.

\section{Method}
We optimize a regularized empirical risk using adaptive gradient
methods~\cite{kingma2015adam}.

\section{Conclusion}
We presented an ACM journal template ready for compilation.

\begin{acks}
The authors thank the anonymous reviewers.
\end{acks}

\bibliographystyle{ACM-Reference-Format}
\bibliography{refs}

\end{document}