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Dear colleague,
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<div class="default-style"> It is a pleasure to invite you to
submit a paper to the AAAI 2024 Spring Symposium on Empowering
Machine Learning and Large Language Models with Domain and
Commonsense Knowledge (AAAI-MAKE 2024). </div>
<div class="default-style"> </div>
<div class="default-style"> The symposium is scheduled to be
held on March 25-27, 2024, at Stanford University, Palo Alto,
California, USA. <br>
<br>
We appreciate you sharing this Call for Participation (CfP)
within your network and community. </div>
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<div class="default-style"> I am looking forward to seeing you
at AAAI-MAKE 2024! </div>
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<div class="default-style"> On behalf of the organizing
committee — kind regards, <br>
Andreas Martin </div>
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<div class="default-style" style="text-align: center;">
——————————————— </div>
<div class="default-style" style="text-align: center;"> <br>
AAAI 2024 Spring Symposium on </div>
<h3 class="default-style" style="text-align: center;">Empowering
Machine Learning and Large Language Models with Domain and
Commonsense Knowledge (AAAI-MAKE 2024)</h3>
<div class="default-style" style="text-align: center;"> March
25-27, 2024 @ Stanford University, Palo Alto, California, USA
</div>
<div class="default-style" style="text-align: center;"> <a
href="https://www.aaai-make.info" moz-do-not-send="true"
class="moz-txt-link-freetext">https://www.aaai-make.info</a>
| <strong>Submission: 7th of January 2024</strong> </div>
<div class="default-style"> </div>
<div class="default-style"> <em>AAAI-MAKE 2024 brings together
a diverse community of researchers, practitioners, and
industry professionals from the fields of machine learning,
knowledge engineering, and large language models (LLMs) to
explore the synergy between these domains. The symposium
aims to address the critical challenges of trustworthiness,
interpretability, and the integration of commonsense
reasoning in AI systems. Through a series of keynotes, paper
presentations and discussions of the 2.5-day symposium,
participants will delve into novel solutions empowering
machine learning and large language models with domain and
commonsense knowledge.</em> </div>
<h4 class="default-style">Topics and Format</h4>
<div class="default-style"> Key topics of discussion will
include, but are not limited to: </div>
<ul>
<li class="default-style">Trustworthy and knowledge-based
explainable AI</li>
<li class="default-style">Evaluation of Commonsense Knowledge
and Reasoning in Large Language Models</li>
<li class="default-style">Commonsense Knowledge in Foundation
and Large Language Models</li>
<li class="default-style">Interpretability and Safety of Large
Language Models with Commonsense Knowledge</li>
<li class="default-style">Human-Centered AI, Dialogue Systems,
and Conversational AI</li>
<li class="default-style">Hybrid and Neurosymbolic AI</li>
<li class="default-style">Combination of Knowledge Engineering
and Machine Learning</li>
<li class="default-style">Integration of Commonsense Knowledge
Sources with LLMs and Downstream Tasks</li>
</ul>
<div class="default-style"> Since AAAI-MAKE 2024 is a dedicated
symposium on empowering ML/LLMs with domain/commonsense
knowledge, the contributions should address hybrid approaches.
The symposium involves presentations of accepted papers,
keynotes, (panel) discussions, and plenary sessions. </div>
<h4 class="default-style">Submission</h4>
<div class="default-style"> We solicit <strong>full papers (6
to 8 pages)</strong> and <strong>position/short/poster
papers (2 to 4 pages)</strong> that can include recent or
ongoing research, challenges with datasets, and surveys. All
submissions must reflect the formatting instructions of the
AAAI author kit (<a href="https://www.aaai-make.info/authors/"
moz-do-not-send="true" class="moz-txt-link-freetext">https://www.aaai-make.info/authors/</a>)
and be submitted through EasyChair (<a
href="https://easychair.org/conferences/?conf=sss24"
moz-do-not-send="true" class="moz-txt-link-freetext">https://easychair.org/conferences/?conf=sss24</a>).
</div>
<div class="default-style"> </div>
<div class="default-style"> The invitation of contributors and
presenters will be based on a rigorous single-blinded review
of papers by the program committee. Accepted papers shall be
published as part of the “Proceedings of the AAAI Symposium
Series” by the AAAI Library. </div>
<h4 class="default-style">Important Dates</h4>
<ul>
<li class="default-style"><strong>Submission: 7th of January
2024</strong></li>
<li class="default-style">Notification: 31st of January 2024</li>
<li class="default-style">Camera-ready submission: 14th of
February 2024</li>
<li class="default-style">Symposium: 25-27 of March 2024</li>
</ul>
<h4 class="default-style">Organizing Committee</h4>
<ul>
<li class="default-style">Andreas Martin (primary contact),
FHNW, Olten, Switzerland</li>
<li class="default-style">Pedro A. Colon-Hernandez, Apple
Inc., CA, USA</li>
<li class="default-style">Maaike de Boer, TNO, The Hague,
Netherlands</li>
<li class="default-style">Aurona Gerber, University of the
Western Cape, Cape Town, South Africa</li>
<li class="default-style">Knut Hinkelmann, FHNW, Olten,
Switzerland</li>
<li class="default-style">Pascal Hitzler, Kansas State
University, Manhattan, KS, USA</li>
<li class="default-style">Jane Yung-jen Hsu, National Taiwan
University, Taipei, Taiwan</li>
<li class="default-style">Yen-Ling Kuo, University of
Virginia, VA, USA</li>
<li class="default-style">Xiang Lorraine Li, University of
Pittsburgh, PA, USA</li>
<li class="default-style">Thomas Schmid, Martin Luther
University Halle-Wittenberg, Germany</li>
<li class="default-style">Paulo Shakarian, Arizona State
University, Tempe, AZ, USA</li>
<li class="default-style">Reinhard Stolle, Argo AI GmbH,
München, Germany</li>
<li class="default-style">Frank van Harmelen, VU University,
Amsterdam, Netherlands</li>
</ul>
</div>
</div>
<pre class="moz-signature" cols="72">--
Pascal Hitzler
Lloyd T. Smith Creativity in Engineering Chair
Director, Center for AI and Data Science CAIDS
Co-Director, Inst. for Digital Agriculture and Advanced Analytics ID3A
Kansas State University <a class="moz-txt-link-freetext" href="http://www.pascal-hitzler.de">http://www.pascal-hitzler.de</a>
<a class="moz-txt-link-freetext" href="http://www.daselab.org">http://www.daselab.org</a> <a class="moz-txt-link-freetext" href="http://www.semantic-web-journal.net">http://www.semantic-web-journal.net</a>
<a class="moz-txt-link-freetext" href="http://k-state.edu/ID3A">http://k-state.edu/ID3A</a> <a class="moz-txt-link-freetext" href="https://neurosymbolic-ai-journal.com">https://neurosymbolic-ai-journal.com</a></pre>
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