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<p style="mso-margin-top-alt:0in;margin-right:0in;margin-bottom:4.0pt;margin-left:0in;text-align:justify;text-justify:inter-ideograph">
<span style="font-size:12.0pt;color:black">Joint Workshop on Statistics and Knowledge Integration for Logic, Learning, Ethical Decisions, and LLMs (SKILLED-LLMs 2026)</span><span style="font-size:12.0pt"><o:p></o:p></span></p>
<p style="mso-margin-top-alt:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in">
<span style="font-size:12.0pt;color:black">Co-located with Federated Logic Conference FLoC, July 18, 2026<o:p></o:p></span></p>
<div>
<h1 style="mso-margin-top-alt:.25in;margin-right:0in;margin-bottom:4.0pt;margin-left:0in;text-align:justify;text-justify:inter-ideograph;vertical-align:baseline">
<span style="font-size:12.0pt;color:black">Call for Contributions<o:p></o:p></span></h1>
<p style="mso-margin-top-alt:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;text-align:justify;text-justify:inter-ideograph">
<span style="font-size:12.0pt;color:black">Reasoning is the cognitive process that underpins the extraction of meaningful insights from stored knowledge, facilitating decision-making. This workshop creates a platform for researchers from different disciplines
and AI perspectives to explore approaches and techniques for reconciling reasoning between deep learning and logic-based representations, and to formalize the type of reasoning these models perform. This is particularly salient given the recent leap forward
in natural language processing, with the emergence of large language models (LLMs) hinting at the possibility that these models exhibit reasoning abilities. Knowledge representation and reasoning (KRR) approaches can be integrated with LLMs via neuro-symbolic
approaches and statistically grounded knowledge integration in order to build AI systems that possess more human-like cognitive abilities, combining a strong reasoning component with a clear textual communicative element. Furthermore, ethical concerns surrounding
LLMs emerged to the forefront, with issues such as bias and lack of transparency in decision-making highlighting the need for responsible deployment and use. The workshop emphasizes the need for integration between reasoning and ethics and the ability to achieve
this via transparent knowledge representation methods. Overall, the synergy of reasoning and deep learning offers the potential to harness the strengths of both while promoting ethical AI development. This joint workshop brings together the communities of
statistical learning, knowledge integration, KRR, neuro-symbolic AI, and responsible AI to advance methods, evaluations, and real-world systems that make reasoning-centric deep learning models more trustworthy in critical settings. More broadly, the workshop
welcomes any work that combines data-driven techniques with knowledge representation and reasoning, whether based on deep learning, statistics, or other paradigms. <o:p></o:p></span></p>
<h2 style="mso-margin-top-alt:8.0pt;margin-right:0in;margin-bottom:4.0pt;margin-left:0in;text-align:justify;text-justify:inter-ideograph">
<span style="font-size:12.0pt;color:black">Topics of Interest</span><span style="font-size:12.0pt"><o:p></o:p></span></h2>
<p style="mso-margin-top-alt:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;text-align:justify;text-justify:inter-ideograph">
<span style="font-size:12.0pt;color:black">Topics of interest include, but are not limited to:</span><span style="font-size:12.0pt"><o:p></o:p></span></p>
<ul style="margin-top:0in;padding-inline-start:48px" type="disc">
<li style="color:black;margin-top:0in;margin-bottom:0in;text-align:justify;text-justify:inter-ideograph;mso-list:l0 level1 lfo2;vertical-align:baseline">
<span style="font-size:12.0pt">Formalizing and characterizing LLM reasoning<o:p></o:p></span></li><li style="color:black;margin-top:0in;margin-bottom:0in;text-align:justify;text-justify:inter-ideograph;mso-list:l0 level1 lfo2;vertical-align:baseline">
<span style="font-size:12.0pt">Statistical-symbolic reasoning under uncertainty<o:p></o:p></span></li><li style="color:black;margin-top:0in;margin-bottom:0in;text-align:justify;text-justify:inter-ideograph;mso-list:l0 level1 lfo2;vertical-align:baseline">
<span style="font-size:12.0pt">Neuro-symbolic methods for KR and reasoning in LLMs<o:p></o:p></span></li><li style="color:black;margin-top:0in;margin-bottom:0in;text-align:justify;text-justify:inter-ideograph;mso-list:l0 level1 lfo2;vertical-align:baseline">
<span style="font-size:12.0pt">Logical constraints injection in LLM generation<o:p></o:p></span></li><li style="color:black;margin-top:0in;margin-bottom:0in;text-align:justify;text-justify:inter-ideograph;mso-list:l0 level1 lfo2;vertical-align:baseline">
<span style="font-size:12.0pt">Argumentation, negotiation, and agent-based reasoning in LLMs<o:p></o:p></span></li><li style="color:black;margin-top:0in;margin-bottom:0in;text-align:justify;text-justify:inter-ideograph;mso-list:l0 level1 lfo2;vertical-align:baseline">
<span style="font-size:12.0pt">Retrieval-augmented reasoning with structured knowledge<o:p></o:p></span></li><li style="color:black;margin-top:0in;margin-bottom:0in;mso-list:l0 level1 lfo2;vertical-align:baseline">
<span style="font-size:12.0pt">Unstructured data conversion to knowledge graphs<o:p></o:p></span></li><li style="color:black;margin-top:0in;margin-bottom:0in;text-align:justify;text-justify:inter-ideograph;mso-list:l0 level1 lfo2;vertical-align:baseline">
<span style="font-size:12.0pt">Calibration and confidence for reasoning systems<o:p></o:p></span></li><li style="color:black;margin-top:0in;margin-bottom:0in;text-align:justify;text-justify:inter-ideograph;mso-list:l0 level1 lfo2;vertical-align:baseline">
<span style="font-size:12.0pt">Causal and counterfactual reasoning for trustworthy decisions<o:p></o:p></span></li><li style="color:black;margin-top:0in;margin-bottom:0in;text-align:justify;text-justify:inter-ideograph;mso-list:l0 level1 lfo2;vertical-align:baseline">
<span style="font-size:12.0pt">Explainable and auditable reasoning<o:p></o:p></span></li><li style="color:black;margin-top:0in;margin-bottom:0in;text-align:justify;text-justify:inter-ideograph;mso-list:l0 level1 lfo2;vertical-align:baseline">
<span style="font-size:12.0pt">Ethics-aware reasoning and normative constraints<o:p></o:p></span></li><li style="color:black;margin-top:0in;margin-bottom:0in;text-align:justify;text-justify:inter-ideograph;mso-list:l0 level1 lfo2;vertical-align:baseline">
<span style="font-size:12.0pt">Bias and fairness in reasoning outputs<o:p></o:p></span></li><li style="color:black;margin-top:0in;margin-bottom:0in;text-align:justify;text-justify:inter-ideograph;mso-list:l0 level1 lfo2;vertical-align:baseline">
<span style="font-size:12.0pt">Verification and validation of LLM reasoning<o:p></o:p></span></li><li style="color:black;margin-top:0in;margin-bottom:0in;text-align:justify;text-justify:inter-ideograph;mso-list:l0 level1 lfo2;vertical-align:baseline">
<span style="font-size:12.0pt">Human-In-The-Loop oversight for AI decisions<o:p></o:p></span></li><li style="color:black;margin-top:0in;margin-bottom:0in;text-align:justify;text-justify:inter-ideograph;mso-list:l0 level1 lfo2;vertical-align:baseline">
<span style="font-size:12.0pt">Privacy and security in knowledge-integrated LLM systems<o:p></o:p></span></li><li style="color:black;margin-top:0in;margin-bottom:0in;text-align:justify;text-justify:inter-ideograph;mso-list:l0 level1 lfo2;vertical-align:baseline">
<span style="font-size:12.0pt">Continuous and adaptive knowledge integration<o:p></o:p></span></li><li style="color:black;margin-top:0in;margin-bottom:0in;text-align:justify;text-justify:inter-ideograph;mso-list:l0 level1 lfo2;vertical-align:baseline">
<span style="font-size:12.0pt">Tool-augmented LLM reasoning<o:p></o:p></span></li><li style="color:black;margin-top:0in;margin-bottom:0in;text-align:justify;text-justify:inter-ideograph;mso-list:l0 level1 lfo2;vertical-align:baseline">
<span style="font-size:12.0pt">Multi-agent reasoning and deliberation with ethical rules<o:p></o:p></span></li><li style="color:black;margin-top:0in;margin-bottom:0in;text-align:justify;text-justify:inter-ideograph;mso-list:l0 level1 lfo2;vertical-align:baseline">
<span style="font-size:12.0pt">Evaluation of reasoning quality across paradigms<o:p></o:p></span></li><li style="color:black;margin-top:0in;margin-bottom:0in;text-align:justify;text-justify:inter-ideograph;mso-list:l0 level1 lfo2;vertical-align:baseline">
<span style="font-size:12.0pt">High-impact applications and deployment use cases<o:p></o:p></span></li></ul>
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<span style="font-size:12.0pt;color:black">Submission Details<o:p></o:p></span></h1>
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<span style="font-size:12.0pt;color:black">Submissions can be:</span><span style="font-size:12.0pt"><o:p></o:p></span></p>
<ul style="margin-top:0in;padding-inline-start:48px" type="disc">
<li style="color:black;margin-top:0in;margin-bottom:0in;text-align:justify;text-justify:inter-ideograph;mso-list:l3 level1 lfo4;vertical-align:baseline">
<span style="font-size:12.0pt">Long papers: up to 12 pages<o:p></o:p></span></li><li style="color:black;margin-top:0in;margin-bottom:0in;text-align:justify;text-justify:inter-ideograph;mso-list:l3 level1 lfo4;vertical-align:baseline">
<span style="font-size:12.0pt">Short/position papers: up to 6 pages<o:p></o:p></span></li><li style="color:black;margin-top:0in;margin-bottom:8.0pt;text-align:justify;text-justify:inter-ideograph;mso-list:l3 level1 lfo4;vertical-align:baseline">
<span style="font-size:12.0pt">Extended abstracts: up to 2 pages<o:p></o:p></span></li></ul>
<p style="mso-margin-top-alt:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;text-align:justify;text-justify:inter-ideograph">
<span style="font-size:12.0pt;color:black">Follow the </span><span style="font-size:12.0pt"><a href="https://ceur-ws.org/HOWTOSUBMIT.html"><span style="color:#1155CC">CEUR-WS formatting guidelines</span></a><span style="color:black"> and the
</span><a href="https://www.overleaf.com/latex/templates/template-for-submissions-to-ceur-workshop-proceedings-ceur-ws-dot-org/wqyfdgftmcfw"><span style="color:#1155CC">Overleaf template</span></a><span style="color:black">. Submit via
</span><a href="https://submissions.floc26.org/skilled-llms/"><span style="color:#1155CC">submission</span></a><span style="color:black"> page.<o:p></o:p></span></span></p>
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<span style="font-size:12.0pt"><o:p> </o:p></span></p>
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<span style="font-size:12.0pt;color:black">Important Dates</span><span style="font-size:12.0pt"><o:p></o:p></span></h2>
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<span style="font-size:12.0pt">Paper Submission Deadline: May 8, 2026<o:p></o:p></span></li><li style="color:black;margin-top:0in;margin-bottom:0in;mso-list:l2 level1 lfo5;vertical-align:baseline">
<span style="font-size:12.0pt">Paper Acceptance Notification: June 8, 2026<o:p></o:p></span></li><li style="color:black;margin-top:0in;margin-bottom:0in;mso-list:l2 level1 lfo5;vertical-align:baseline">
<span style="font-size:12.0pt">Camera Ready: June 22, 2026<o:p></o:p></span></li><li style="color:black;margin-top:0in;margin-bottom:0in;mso-list:l2 level1 lfo5;vertical-align:baseline">
<span style="font-size:12.0pt">Workshop Registration Deadline: July 1, 2026 <o:p></o:p></span></li><li style="color:black;margin-top:0in;margin-bottom:8.0pt;text-align:justify;text-justify:inter-ideograph;mso-list:l2 level1 lfo5;vertical-align:baseline">
<span style="font-size:12.0pt">Workshop Date: July 18, 2026<o:p></o:p></span></li></ul>
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<span style="font-size:12.0pt;color:black">Program Committee<o:p></o:p></span></h1>
<ul style="margin-top:0in;padding-inline-start:48px" type="disc">
<li style="color:black;margin-top:0in;margin-bottom:0in;text-align:justify;text-justify:inter-ideograph;mso-list:l1 level1 lfo7;vertical-align:baseline">
<span style="font-size:12.0pt">Ken Satoh Center for Juris-Informatics, ROIS-DS, Tokyo, Japan<o:p></o:p></span></li><li style="color:black;margin-top:0in;margin-bottom:0in;text-align:justify;text-justify:inter-ideograph;mso-list:l1 level1 lfo7;vertical-align:baseline">
<span style="font-size:12.0pt">Ha Thanh Nguyen, Center for Juris-Informatics, ROIS-DS, Tokyo, Japan <o:p></o:p></span></li><li style="color:black;margin-top:0in;margin-bottom:0in;text-align:justify;text-justify:inter-ideograph;mso-list:l1 level1 lfo7;vertical-align:baseline">
<span style="font-size:12.0pt">Francesca Toni, Imperial College London, United Kingdom<o:p></o:p></span></li><li style="color:black;margin-top:0in;margin-bottom:0in;text-align:justify;text-justify:inter-ideograph;mso-list:l1 level1 lfo7;vertical-align:baseline">
<span style="font-size:12.0pt">Randy Goebel, Alberta Machine Intelligence Institute, University of Alberta, Canada <o:p></o:p></span></li><li style="color:black;margin-top:0in;margin-bottom:0in;text-align:justify;text-justify:inter-ideograph;mso-list:l1 level1 lfo7;vertical-align:baseline">
<span style="font-size:12.0pt">Kostas Stathis Royal Holloway University of London, United Kingdom<o:p></o:p></span></li><li style="color:black;margin-top:0in;margin-bottom:0in;text-align:justify;text-justify:inter-ideograph;mso-list:l1 level1 lfo7;vertical-align:baseline">
<span style="font-size:12.0pt">Nourhan Ehab, German University in Cairo, Egypt <o:p></o:p></span></li><li style="color:black;margin-top:0in;margin-bottom:0in;text-align:justify;text-justify:inter-ideograph;mso-list:l1 level1 lfo7;vertical-align:baseline">
<span style="font-size:12.0pt">Mervat Abuelkheir, German University in Cairo, Egypt<o:p></o:p></span></li><li style="color:black;margin-top:0in;margin-bottom:0in;text-align:justify;text-justify:inter-ideograph;mso-list:l1 level1 lfo7;vertical-align:baseline">
<span style="font-size:12.0pt">Yves Lesperance, Department of Electrical Engineering and Computer Science, York University, Toronto, Canada <o:p></o:p></span></li><li style="color:black;margin-top:0in;margin-bottom:0in;text-align:justify;text-justify:inter-ideograph;mso-list:l1 level1 lfo7;vertical-align:baseline">
<span style="font-size:12.0pt">Elena Umili, Sapienza University of Rome, Italy <o:p></o:p></span></li><li style="color:black;margin-top:0in;margin-bottom:0in;text-align:justify;text-justify:inter-ideograph;mso-list:l1 level1 lfo7;vertical-align:baseline">
<span style="font-size:12.0pt">Francesco Chiariello, Chair of Machine Learning and Reasoning, RWTH Aachen University, Germany <o:p></o:p></span></li><li style="color:black;margin-top:0in;margin-bottom:0in;text-align:justify;text-justify:inter-ideograph;mso-list:l1 level1 lfo7;vertical-align:baseline">
<span style="font-size:12.0pt">Matteo Magnini, Department of Computer Science, University of Luxembourg, Luxembourg<o:p></o:p></span></li><li style="color:black;margin-top:0in;margin-bottom:8.0pt;text-align:justify;text-justify:inter-ideograph;mso-list:l1 level1 lfo7;vertical-align:baseline">
<span style="font-size:12.0pt">Federico Sabbatini, University of Urbino, Italy <o:p></o:p></span></li></ul>
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<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">Best Regards,<br>
<b>Nourhan Ehab, Ph.D. </b><br>
Lecturer<br>
Department of Computer Science and Engineering<br>
Faculty of Media Engineering and Technology<br>
German University in Cairo<br>
New Cairo City - Main Entrance Al Tagamoa Al Khames<br>
Egypt<o:p></o:p></p>
<p class="MsoNormal">Office: C7.309<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><img border="0" width="193" height="64" style="width:2.0104in;height:.6666in" id="Picture_x0020_2" src="cid:image001.png@01D966DF.44A51530"><o:p></o:p></p>
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<p class="MsoNormal"><o:p> </o:p></p>
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