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\documentclass[11pt, twocolumn]{article}
% ── Standalone fallback: compiles with any standard pdflatex install ────────
% For official ACL submission, download acl.sty from:
% https://2024.aclweb.org/calls/papers/
% Then replace the font, geometry and hyperref lines below with:
% \usepackage[hyperref]{acl}
% ─────────────────────────────────────────────────────────────────────────────
\usepackage{latexsym}
\usepackage[T1]{fontenc}
\usepackage{microtype}
\usepackage[margin=2cm, columnsep=0.5cm]{geometry}
\usepackage{amsmath,amssymb}
\usepackage{newtxtext,newtxmath}
\usepackage{booktabs}
\usepackage{graphicx}
\usepackage[hidelinks]{hyperref}
\title{Your ACL 2024 Paper Title}
\author{First Author \\
University / Institution \\
\texttt{author@email.edu} \\\\
Second Author \\
University / Institution \\
\texttt{author2@email.edu}}
\begin{document}
\maketitle
\begin{abstract}
This paper presents a new approach for natural language processing. Your abstract here (150--250 words).
\end{abstract}
\section{Introduction}
Introduce the task and your contributions \cite{devlin-etal-2019-bert}.
\section{Related Work}
Compare to prior work.
\section{Approach}
Describe your model or method.
\begin{equation}
P(y|x) = \text{softmax}(W \cdot h + b)
\end{equation}
\section{Experimental Setup}
\paragraph{Datasets.} Describe datasets.
\paragraph{Baselines.} Describe baselines.
\section{Results}
\begin{table}[htbp]
\centering
\caption{Results on the test set.}
\label{tab:results}
\begin{tabular}{lcc}
\toprule
Model & BLEU & ROUGE-L \\
\midrule
Baseline & 28.4 & 52.1 \\
Ours & \textbf{31.7} & \textbf{55.8} \\
\bottomrule
\end{tabular}
\end{table}
\section{Conclusion}
We proposed a new approach that...
\section*{Limitations}
Discuss limitations of your work.
\begin{thebibliography}{9}
\bibitem{devlin-etal-2019-bert}
Devlin, J., Chang, M.-W., Lee, K., \& Toutanova, K. (2019).
BERT: Pre-training of deep bidirectional transformers for language understanding.
\textit{Proceedings of NAACL-HLT 2019}, 4171--4186.
\end{thebibliography}
\end{document}
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