[agents] GENAIDOC CFP (Hybrid Conference Co-Sponsored by IEEE ): The International Workshop on Generative AI for Textual Document Analysis, 26-29 November, 2024 | Dubai, UAE

[Emerging Tech]

[Apologies if you got multiple copies of this invitation]

The International Workshop on Generative AI for Textual Document Analysis
(GENAIDOC 2024)

Co-Located with



The 2nd International Conference on Foundation and Large Language Models
(FLLM2024) <https://fllm2024.fllm-conference.org/index.php>



https://sites.google.com/view/genaidoc-workshop-fllm-2024/home?authuser=0



26-29 November, 2024 | Dubai, UAE

Technically Co-Sponsored by IEEE UAE Section

*GENAIDOC 2024 CFP:*

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.

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.



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.

We invite the submission of original papers on all topics related to LLMs
and cybersecurity, with special interest in but not limited to:

   - Text classification
   - Automatic document summarization
   - Automatic machine translation
   - Sentiment analysis
   - Text generation
   - Deep learning for NLP
   - Reinforcement Learning for NLP
   - Unsupervised Learning for NLP
   - Speaker identification
   - Speech recognition
   - Speech to Text
   - Text detection and recognition from images
   - Question Answering systems
   - Transfer Learning for NLP
   - Active Learning for NLP
   - Real-life and industrially relevant NLP applications
      - Email filtering
      - Chatbot
      - News generation
      - Meeting analysis
      - CVs analysis and classification

* Submissions Guidelines and Proceedings*

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.

*Important Dates:*

   - *Paper submission deadline: September 10, 2024*
   - Notification of acceptance: October 5, 2024
   - Camera-ready Submission: October 20, 2024



*Contact:*

Please send any inquiry to: <emergingtechnetwork at gmail.com> Rim Hantach
<rim.hantach at gmail.com>  and Rafika Boutalbi <rafika.boutalbi at lis-lab.fr>
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