% generated by tables/make_tables.py from /Users/simon-pierreboucher/Desktop/UQO/Recherche/Recherche-UQO/informatique/wp44/results/graph/category_cooccurrence_yearly.csv
\begin{table}[htbp]\centering\caption{Categories most often co-assigned with Large Language Models, by span.}\label{tab:p9-llm-partners}
\begin{threeparttable}\footnotesize\setlength{\tabcolsep}{4pt}
\resizebox{\ifdim\width>\linewidth\linewidth\else\width\fi}{!}{\begin{tabular}{lrrr}
\toprule
\textbf{Partner category} & \textbf{Works, 2018--2022} & \textbf{Works, 2023--2026} & \textbf{Ratio} \\
\midrule
Natural Language Processing & 96{,}346 & 233{,}717 & 2.43 \\
Foundation Models & 17{,}107 & 87{,}013 & 5.09 \\
Deep Learning Architectures & 29{,}989 & 73{,}479 & 2.45 \\
Computer Vision & 12{,}171 & 63{,}271 & 5.20 \\
Multimodal AI & 9{,}607 & 62{,}476 & 6.50 \\
Information Retrieval & 20{,}069 & 59{,}453 & 2.96 \\
Software Engineering & 4{,}793 & 55{,}862 & 11.65 \\
AI Safety and Alignment & 2{,}505 & 46{,}899 & 18.72 \\
Machine Learning Theory & 10{,}228 & 37{,}210 & 3.64 \\
AI Agents and Autonomous Syst. & 1{,}097 & 35{,}482 & 32.34 \\
Generative AI & 3{,}218 & 34{,}832 & 10.82 \\
Cybersecurity & 4{,}824 & 32{,}240 & 6.68 \\
Distributed Computing & 3{,}005 & 29{,}709 & 9.89 \\
Human-Computer Interaction & 2{,}544 & 26{,}526 & 10.43 \\
Reinforcement Learning & 1{,}723 & 22{,}085 & 12.82 \\
\bottomrule
\end{tabular}}
\begin{tablenotes}\footnotesize\item Works carrying both the LLM label and the partner label; spans split by calendar year; the second span is incomplete.\end{tablenotes}
\end{threeparttable}\end{table}