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<p class="MsoNormal" align="center" style="text-align:center;line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:18pt;font-family:"Times New Roman",serif">The International Symposium on
Foundation and Large Language Models (FLLM<span class="gmail_default" style="color:rgb(0,0,0)"> </span>2023) <span></span></span></p>
<p class="MsoNormal" align="center" style="text-align:center;line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif"><a href="https://fllm-conference.org/FLLM2023/index.php" style="color:blue;text-decoration:underline" target="_blank"><span style="font-size:16pt;font-family:"Times New Roman",serif">https://fllm-conference.org/FLLM2023/index.php</span></a><span style="font-size:18pt;font-family:"Times New Roman",serif"><span></span></span></p>
<p class="MsoNormal" align="center" style="text-align:center;line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:16pt;font-family:"Times New Roman",serif">Abu Dhabi,
UAE. November 22-23, 2023.<span></span></span></p>
<p class="MsoNormal" align="center" style="text-align:center;margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:14pt;line-height:107%;font-family:"Times New Roman",serif;color:red">(Co-located
with </span><a href="https://emergingtechnet.org/SNAMS2023/index.php" style="color:blue;text-decoration:underline" target="_blank"><span style="font-size:14pt;line-height:107%;font-family:"Times New Roman",serif;color:red">SNAMS </span></a><span style="font-size:14pt;line-height:107%;font-family:"Times New Roman",serif;color:red">and Technically
Co-Sponsored by IEEE)</span><span style="font-size:10pt;line-height:107%"><span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif"><b><u>FLLM Call for Papers:<span></span></u></b></p>
<p style="text-align:justify;margin-right:0in;margin-left:0in;font-size:12pt;font-family:"Times New Roman",serif">With the emergence of foundation models (FMs) and
Large Language Models (LLMs) that are trained on large amounts of data at scale
and adaptable to a wide range of downstream applications, Artificial
intelligence is experiencing a paradigm revolution. BERT, T5, ChatGPT, GPT-4,
Falcon 180B, Codex, DALL-E, Whisper, and CLIP are now the foundation for new
applications ranging from computer vision to protein sequence study and from
speech recognition to coding. Earlier models had a reputation of starting from
scratch with each new challenge. The capacity to experiment with, examine, and
comprehend the capabilities and potentials of next-generation FMs is critical
to undertaking this research and guiding its path. Nevertheless, these models
are currently inaccessible as the resources required to train these models are
highly concentrated in industry, and even the assets (data, code) required to
replicate their training are frequently not released due to their demand in the
real-time industry. At the moment, mostly large tech companies such as OpenAI,
Google, Facebook, and Baidu can afford to construct FMs and LLMS. Despite the expected
widely publicized use of FMs and LLMS, we still lack a comprehensive knowledge
of how they operate, why they underperfor<span class="gmail_default" style="color:rgb(0,0,0)"></span>m, and what they are even capable of
because of their emerging global qualities. To deal with these problems, we
believe that much critical research on FMs and LLMS would necessitate extensive
multidisciplinary collaboration, given their essentially social and technical
structure. <span></span></p>
<p style="text-align:justify;margin-right:0in;margin-left:0in;font-size:12pt;font-family:"Times New Roman",serif">The International Symposium on Foundation and
Large Language Models (FLLM) addresses the architectures, applications,
challenges, approaches, and future directions. We invite the submission of
original papers on all topics related to FLLMs, with special interest in but
not limited to: <span></span></p>
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<b><span style="font-size:11pt;font-family:"Calibri",sans-serif"><br clear="all" style="break-before:auto">
</span></b>
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<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"><b>Architectures and
Systems</b><span></span></li><ul style="margin-top:0in;margin-bottom:0in" type="circle"><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif">Transformers
and Attention <span></span></li><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif">Bidirectional
Encoding<span></span></li><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif">Autoregressive
Models<span></span></li><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif">Massive
GPU Systems <span></span></li><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif">Prompt
Engineering<span></span></li><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif">Fine-tuning<span></span></li></ul><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><b>Challenges<span></span></b></li><ul style="margin-top:0in;margin-bottom:0in" type="circle"><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif">Hallucination<span></span></li><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif">Cost of
Creation and Training<span></span></li><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif">Energy
and Sustainability Issues<span></span></li><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif">integration<span></span></li><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif">Safety
and Trustworthiness<span></span></li><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif">Interpretability
<span></span></li><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif">Fairness<span></span></li><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif">Social
Impact<span></span></li></ul><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><b>Future Directions<span></span></b></li><ul style="margin-top:0in;margin-bottom:0in" type="circle"><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif">Generative
AI<span></span></li><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif">Explainability<span></span></li><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif">Federated
Learning for FLLM<span></span></li><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif">Data
Augmentation<span></span></li></ul><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif">Natural Language
Processing Applications<span></span></li><ul style="margin-top:0in;margin-bottom:0in" type="circle"><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif">Generation<span></span></li><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif">Summarization<span></span></li><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif">Rewrite <span></span></li><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif">Search<span></span></li><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif">Question
Answering<span></span></li><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif">Language
Comprehension and Complex Reasoning<span></span></li><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif">Clustering
and Classification<span></span></li></ul></ul>
<p class="MsoNormal" style="margin:0in 0in 0.0001pt 1in;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><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"><b>Applications<span></span></b></li><ul style="margin-top:0in;margin-bottom:0in" type="circle"><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif">Natural
Language Processing<span></span></li><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif">Communication
Systems<span></span></li><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif">Security
and Privacy<span></span></li><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif">Image
Processing and Computer Vision<span></span></li><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif">Life
Sciences<span></span></li><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif">Financial
Systems<span></span></li></ul></ul>
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<p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif"><b><u>Submission Guidelines:<span></span></u></b></p>
<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif">Papers submitted to FLLM must be the original work of the
authors. They may not be simultaneously under review elsewhere. Publications
that have been peer-reviewed and have appeared at other conferences or
workshops may not be submitted to FLLM. Authors should be aware that IEEE has a
strict policy with regard to plagiarism <a href="https://www.ieee.org/publications/rights/plagiarism/plagiarism-faq.html" style="color:blue;text-decoration:underline" target="_blank">https://www.ieee.org/publications/rights/plagiarism/plagiarism-faq.html</a>
The authors' prior work must be cited appropriately.<span></span></p>
<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif">All papers that are accepted, registered, and presented in
FLLM will be submitted to IEEEXplore for publication with SNAMS proceedings.<span></span></p>
<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif"><span> </span></p>
<p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif"><b><u>Important Dates<span></span></u></b></p>
<ul style="margin-top:0in;margin-bottom:0in" type="disc"><li class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;color:red"><b>Paper Submission Deadline:
21-October-2023 </b></span><span style="font-size:12pt"><span></span></span></li><li class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt">Notification of
acceptance: 8-November -2023 <span></span></span></li><li class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt">Camera-ready
Submission: 15-November-2023<span></span></span></li></ul>
<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif">Please send any questions about FLLM to Yaser Jararweh: <a href="mailto:yijararweh@just.edu.jo" style="color:blue;text-decoration:underline" target="_blank">yijararweh@just.edu.jo</a><span></span></p>
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