A LaTeX system for managing academic literature with automated sorting, tag-based filtering, and multiple display formats. Built on the datatool package for structured data storage and processing.
This system allows you to:
The Insight field serves as your literature reading notes, designed to capture the essential value and your personal understanding of each paper. It is recommended to record:
Examples:
% Recording innovative methods
\addliterature{Attention Is All You Need}{Vaswani et al.}{2017}{Introduces Transformer architecture based entirely on attention mechanisms, eliminating recurrence and convolution for parallelizable training}{NLP,Attention}
% Recording key conclusions
\addliterature{BERT}{Devlin et al.}{2018}{Breakthrough in bidirectional encoding through masked language model pre-training, achieving state-of-the-art results across multiple NLP tasks}{NLP,BERT}
% Recording methodological innovation and implications
\addliterature{GPT-3}{Brown et al.}{2020}{Demonstrates few-shot learning capabilities of large-scale language models, 175B parameter model excels across diverse tasks, pointing toward artificial general intelligence}{NLP,GPT}
Through detailed insight recording, you can quickly review key paper points, facilitating future research and writing references.
\input{literature-system.tex}
📥 Get the LaTeX system file:
Simply download the literature-system.tex file and place it in your LaTeX project directory, then include it using \input{literature-system.tex} in your document.
\addliterature{title}{authors}{year}{insight}{tag}Add literature with full information including tags.
\addliterature{Attention Is All You Need}{Vaswani et al.}{2017}{Transformer architecture}{NLP,Attention}
\addliteratureold{title}{authors}{year}{insight}Legacy command for backward compatibility (no tags).
\addliteratureold{BERT Paper}{Devlin et al.}{2018}{Bidirectional encoding}
\sortbyyearSort by publication year (earliest to latest).
\sortbyyear
\sortbytitleSort alphabetically by title.
\sortbytitle
\sortbyauthorsSort alphabetically by author names.
\sortbyauthors
\sortbytagSort alphabetically by tags.
\sortbytag
\sortbyyeartitleSort by year first, then by title.
\sortbyyeartitle
\sortbytagyearSort by tag first, then by year.
\sortbytagyear
\sortby{field}Sort by any database field.
\sortby{authors}
\showfullreviewDisplay all literature in detailed table format.
\showfullreview
\showbasiclistDisplay literature in compact list format.
\showbasiclist
\showbasiclistwithinsightDisplay compact list including research insights.
\showbasiclistwithinsight
\showfullreviewbytag{tag}Show detailed view of papers with specific tag.
\showfullreviewbytag{NLP}
\showbasiclistbytag{tag}Show compact list of papers with specific tag.
\showbasiclistbytag{AI}
\showbasiclistwithinsightbytag{tag}Show compact list with insights for specific tag.
\showbasiclistwithinsightbytag{DeepLearning}
\showstatsDisplay database statistics and available tags.
\showstats
\getpapercountGet total number of papers.
Total papers: \getpapercount
\showavailabletagsDisplay all available tags in the database.
\showavailabletags
\systeminfoShow system version and feature information.
\systeminfo
\clearliteratureClear all literature from database.
\clearliterature
\resetpapercountReset paper numbering counter.
\resetpapercount
\documentclass{article}
\input{literature-system.tex}
\begin{document}
% Add literature with detailed insights
\addliterature{Attention Is All You Need}{Vaswani et al.}{2017}{Introduces Transformer architecture based entirely on attention mechanisms, eliminating recurrence and convolution, enabling parallelizable training and laying foundation for large language models}{NLP,Attention}
\addliterature{BERT}{Devlin et al.}{2018}{Breakthrough in bidirectional encoding through masked language model pre-training, achieving deep bidirectional representations and setting new records on 11 NLP tasks}{NLP,BERT}
\addliterature{GPT-3}{Brown et al.}{2020}{Demonstrates few-shot learning capabilities of large-scale language models, 175B parameter model performs diverse tasks without fine-tuning, showcasing potential for artificial general intelligence}{NLP,GPT}
% Sort and display
\sortbyyear
\showstats
\showfullreview
% Filter by tag
\showbasiclistbytag{NLP}
\end{document}
longtable for long literature listsVersion 2.0 - Enhanced with tag support and insight documentation