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<p class="MsoNormal" style="line-height:106%;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif"><span>[Apologies if you got multiple copies of this
invitation]<span></span></span></p>
<p class="MsoNormal" align="center" style="margin:0in 0in 0.0001pt;text-align:center;line-height:106%;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:16pt;line-height:106%">The
International Workshop on Generative AI for Textual Document Analysis (GENAIDOC
2024)<span></span></span></p>
<p class="MsoNormal" align="center" style="margin:0in 0in 0.0001pt;text-align:center;line-height:106%;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:14pt;line-height:106%">Co-Located
with<span></span></span></p>
<p class="MsoNormal" align="center" style="margin:0in 0in 0.0001pt;text-align:center;line-height:106%;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:14pt;line-height:106%"><span> </span></span></p>
<p class="MsoNormal" align="center" style="margin:0in 0in 0.0001pt;text-align:center;line-height:106%;font-size:11pt;font-family:"Calibri",sans-serif"><a href="https://fllm2024.fllm-conference.org/index.php" style="color:rgb(5,99,193);text-decoration:underline" target="_blank"><span style="font-size:14pt;line-height:106%">The 2nd International Conference on Foundation
and Large Language Models (FLLM2024)</span></a><span style="font-size:14pt;line-height:106%"> <span></span></span></p>
<p class="MsoNormal" align="center" style="margin:0in 0in 0.0001pt;text-align:center;line-height:106%;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:14pt;line-height:106%"><span> </span></span></p>
<p class="MsoNormal" align="center" style="margin:0in 0in 0.0001pt;text-align:center;line-height:106%;font-size:11pt;font-family:"Calibri",sans-serif"><a href="https://sites.google.com/view/genaidoc-workshop-fllm-2024/home?authuser=0" style="color:rgb(5,99,193);text-decoration:underline" target="_blank"><span style="font-size:14pt;line-height:106%">https://sites.google.com/view/genaidoc-workshop-fllm-2024/home?authuser=0</span></a><span style="font-size:14pt;line-height:106%"><span></span></span></p>
<p class="MsoNormal" align="center" style="margin:0in 0in 0.0001pt;text-align:center;line-height:106%;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:14pt;line-height:106%;color:black"><span> </span></span></p>
<p class="MsoNormal" align="center" style="margin:0in 0in 0.0001pt;text-align:center;line-height:106%;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:14pt;line-height:106%;color:black">26-29 November, 2024 | Dubai, UAE <span></span></span></p>
<p class="MsoNormal" align="center" style="margin:0in 0in 0.0001pt;text-align:center;line-height:106%;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:14pt;line-height:106%;color:red">Technically Co-Sponsored by IEEE </span><span style="font-size:12pt;line-height:106%"> </span><span style="font-size:14pt;line-height:106%;color:red">UAE Section </span><span style="font-size:14pt;line-height:106%"><span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><b><u><span style="font-size:14pt;font-family:"Times New Roman",serif">GENAIDOC 202<span style="color:black">4</span>
CFP:</span></u></b><span><span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 0.0001pt;text-align:justify;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:"Times New Roman",serif">Nowadays, the volume of textual data
being generated is unprecedented. From social media posts, news articles, and
academic papers to customer reviews, emails, and business documents, the sheer
quantity of text data is growing exponentially. Traditional methods of
analyzing this vast amount of data often fall short in terms of scalability,
accuracy, and efficiency. In this context, Generative AI (GenAI) is
revolutionizing the field of Natural Language Processing (NLP) by enabling the
creation of highly sophisticated Large Language Models (LLMs) that can
generate, understand, and manipulate human language. GenAI models like GPT-4
and BERT are at the forefront of these advancements from chatbots to automated
content creation. This workshop aims to provide participants with a deep
understanding of LLMs, its applications in NLP, and the ethical considerations
involved. GenAI models are designed to handle and process enormous datasets,
making them ideal for textual document analysis. These models leverage advanced
machine learning techniques to understand, interpret, and generate human-like
text, allowing for more nuanced and comprehensive analysis. By using LLMs, we
can uncover insights and patterns that would be impossible to detect using
conventional methods.<span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 0.0001pt;text-align:justify;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:"Times New Roman",serif">This workshop is designed to provide
a comprehensive understanding of how LLMs can be leveraged for textual document
analysis. Participants will gain hands-on experience and theoretical knowledge
about the applications, capabilities, and limitations of GenAI models in the
context of analyzing textual data. The workshop will cover various techniques
and tools, practical implementation, and the latest advancements in the field.<span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 0.0001pt;text-align:justify;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:"Times New Roman",serif"><span> </span></span></p>
<p class="MsoNormal" style="margin:0in 0in 0.0001pt;text-align:justify;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:"Times New Roman",serif">The GENAIDOC workshop aims to bring
together an area for experts from industry, science, and academia to exchange
ideas and discuss ongoing research in natural language processing and GenAI for
textual document analysis.<span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 0.0001pt;text-align:justify;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:"Times New Roman",serif">We invite the submission of original
papers on all topics related to LLMs and cybersecurity, with special interest
in but not limited to:<b><span></span></b></span></p>
<ul style="margin-top:0in;margin-bottom:0in" type="square"><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:"Times New Roman",serif">Text classification<span></span></span></li><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:"Times New Roman",serif">Automatic document summarization<span></span></span></li><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:"Times New Roman",serif">Automatic machine translation<span></span></span></li><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:"Times New Roman",serif">Sentiment analysis<span></span></span></li><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:"Times New Roman",serif">Text generation<span></span></span></li><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:"Times New Roman",serif">Deep learning for NLP<span></span></span></li><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:"Times New Roman",serif">Reinforcement Learning for NLP<span></span></span></li><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:"Times New Roman",serif">Unsupervised Learning for NLP<span></span></span></li><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:"Times New Roman",serif">Speaker identification<span></span></span></li><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:"Times New Roman",serif">Speech recognition<span></span></span></li><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:"Times New Roman",serif">Speech to Text<span></span></span></li><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:"Times New Roman",serif">Text detection and recognition from images<span></span></span></li><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:"Times New Roman",serif">Question Answering systems<span></span></span></li><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:"Times New Roman",serif">Transfer Learning for NLP<span></span></span></li><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:"Times New Roman",serif">Active Learning for NLP<span></span></span></li><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:"Times New Roman",serif">Real-life and industrially relevant NLP applications<span></span></span></li><ul style="margin-top:0in;margin-bottom:0in" type="square"><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:"Times New Roman",serif">Email filtering<span></span></span></li><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:"Times New Roman",serif">Chatbot<span></span></span></li><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:"Times New Roman",serif">News generation<span></span></span></li><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:"Times New Roman",serif">Meeting analysis<span></span></span></li><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:"Times New Roman",serif">CVs analysis and classification<span></span></span></li></ul></ul>
<p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><b><u><span style="font-size:12pt;font-family:"Times New Roman",serif"><span> </span>Submissions Guidelines and Proceedings</span></u></b><span><span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 12pt;text-align:justify;line-height:106%;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;line-height:106%;font-family:"Times New Roman",serif">Manuscripts should be prepared in
10-point font using the IEEE 8.5" x 11" two-column format. All papers
should be in PDF format, and submitted electronically at Paper Submission Link.
A full paper can be up to 6 to 8 pages (including all figures, tables and
references). Submitted papers must present original unpublished research that
is not currently under review for any other conference or journal. Papers not
following these guidelines may be rejected without review. Also submissions
received after the due date, exceeding length limit, or not appropriately
structured may also not be considered. Authors may contact the Program Chair
for further information or clarification. All submissions are peer-reviewed by
at least three reviewers. Accepted papers will appear in the FLLM Proceeding,
and be published by the IEEE Computer Society Conference Publishing Services
and be submitted to IEEE Xplore for inclusion. Submitted papers must include
original work, and must not be under consideration for another conference or
journal. Submission of regular papers up to 8 pages and must follow the IEEE paper
format. Please include up to 7 keywords, complete postal and email address, and
fax and phone numbers of the corresponding author. Authors of accepted papers
are expected to present their work at the conference. Submitted papers that are
deemed of good quality but that could not be accepted as regular papers will be
accepted as short papers. <span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 0.0001pt;text-align:justify;line-height:106%;font-size:11pt;font-family:"Calibri",sans-serif"><u><span style="font-size:13.5pt;line-height:106%;color:black"></span></u><b><u><span style="font-size:12pt;line-height:106%;font-family:"Times New Roman",serif">Important Dates:</span></u></b><span style="font-family:"Calibri Light",sans-serif"><span></span></span></p>
<ul style="margin-top:0in;margin-bottom:0in" type="disc"><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:"Calibri Light",sans-serif;color:black"></span><b><span style="font-size:14pt;font-family:"Calibri Light",sans-serif;color:red">Paper submission deadline: September 10, 2024</span></b><span style="font-size:14pt;font-family:"Calibri Light",sans-serif;color:red"> </span><span style="font-size:14pt;font-family:"Calibri Light",sans-serif"><span></span></span></li><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:14pt;font-family:"Calibri Light",sans-serif">Notification
of acceptance: October 5, 2024 <span></span></span></li><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:14pt;font-family:"Calibri Light",sans-serif">Camera-ready
Submission: October 20, 2024<span></span></span></li></ul>
<p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:106%;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-family:"Calibri Light",sans-serif"><span> </span></span></p>
<p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:106%;font-size:11pt;font-family:"Calibri",sans-serif"><b><u><span style="font-size:12pt;line-height:106%;font-family:"Calibri Light",sans-serif">Contact:</span></u></b><span style="font-family:"Calibri Light",sans-serif"><span></span></span></p>
<p class="MsoNormal" style="line-height:106%;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:13.5pt;line-height:106%;font-family:"Calibri Light",sans-serif">Please send any inquiry to<span style="color:black"></span>: </span><a href="mailto:emergingtechnetwork@gmail.com" style="color:rgb(5,99,193);text-decoration:underline" target="_blank"><span style="font-size:13.5pt;line-height:106%;font-family:"Calibri Light",sans-serif;color:black"></span></a><span style="font-size:13.5pt;line-height:106%;font-family:"Calibri Light",sans-serif;color:black"></span><span style="font-family:"Calibri Light",sans-serif"> </span><a href="mailto:rim.hantach@gmail.com" style="color:rgb(5,99,193);text-decoration:underline" target="_blank"><span><span style="font-size:14pt;line-height:106%;color:blue;text-decoration:none">Rim Hantach</span></span></a><span style="font-size:14pt;line-height:106%;color:black"><span>
</span>and </span><a href="mailto:rafika.boutalbi@lis-lab.fr" style="color:rgb(5,99,193);text-decoration:underline" target="_blank"><span><span style="font-size:14pt;line-height:106%;color:blue">Rafika Boutalbi</span></span></a><span><span style="font-size:14pt;line-height:106%"> </span></span><span style="font-size:14pt;line-height:106%;color:black"> </span><span><span></span></span></p>
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