[PlanetKR] Call for Papers - Joint Workshop on Statistics and Knowledge Integration for Logic, Learning, Ethical Decisions, and LLMs (SKILLED-LLMs 2026) Co-located with Federated Logic Conference FLoC 2026

[Nourhan Ehab Abdelhamid Azab]

Joint Workshop on Statistics and Knowledge Integration for Logic, Learning, Ethical Decisions, and LLMs (SKILLED-LLMs 2026)

Co-located with Federated Logic Conference FLoC, July 18, 2026

Call for Contributions

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.

Topics of Interest

Topics of interest include, but are not limited to:

  *   Formalizing and characterizing LLM reasoning
  *   Statistical-symbolic reasoning under uncertainty
  *   Neuro-symbolic methods for KR and reasoning in LLMs
  *   Logical constraints injection in LLM generation
  *   Argumentation, negotiation, and agent-based reasoning in LLMs
  *   Retrieval-augmented reasoning with structured knowledge
  *   Unstructured data conversion to knowledge graphs
  *   Calibration and confidence for reasoning systems
  *   Causal and counterfactual reasoning for trustworthy decisions
  *   Explainable and auditable reasoning
  *   Ethics-aware reasoning and normative constraints
  *   Bias and fairness in reasoning outputs
  *   Verification and validation of LLM reasoning
  *   Human-In-The-Loop oversight for AI decisions
  *   Privacy and security in knowledge-integrated LLM systems
  *   Continuous and adaptive knowledge integration
  *   Tool-augmented LLM reasoning
  *   Multi-agent reasoning and deliberation with ethical rules
  *   Evaluation of reasoning quality across paradigms
  *   High-impact applications and deployment use cases

Submission Details

Submissions can be:

  *   Long papers: up to 12 pages
  *   Short/position papers: up to 6 pages
  *   Extended abstracts: up to 2 pages

Follow the CEUR-WS formatting guidelines<https://ceur-ws.org/HOWTOSUBMIT.html> and the Overleaf template<https://www.overleaf.com/latex/templates/template-for-submissions-to-ceur-workshop-proceedings-ceur-ws-dot-org/wqyfdgftmcfw>. Submit via submission<https://submissions.floc26.org/skilled-llms/> page.



Important Dates

  *   Paper Submission Deadline: May 8, 2026
  *   Paper Acceptance Notification: June 8, 2026
  *   Camera Ready: June 22, 2026
  *   Workshop Registration Deadline: July 1, 2026
  *   Workshop Date: July 18, 2026

Program Committee

  *   Ken Satoh Center for Juris-Informatics, ROIS-DS, Tokyo, Japan
  *   Ha Thanh Nguyen, Center for Juris-Informatics, ROIS-DS, Tokyo, Japan
  *   Francesca Toni, Imperial College London, United Kingdom
  *   Randy Goebel, Alberta Machine Intelligence Institute, University of Alberta, Canada
  *   Kostas Stathis Royal Holloway University of London, United Kingdom
  *   Nourhan Ehab, German University in Cairo, Egypt
  *   Mervat Abuelkheir, German University in Cairo, Egypt
  *   Yves Lesperance, Department of Electrical Engineering and Computer Science, York University, Toronto, Canada
  *   Elena Umili, Sapienza University of Rome, Italy
  *   Francesco Chiariello, Chair of Machine Learning and Reasoning, RWTH Aachen University, Germany
  *   Matteo Magnini, Department of Computer Science, University of Luxembourg, Luxembourg
  *   Federico Sabbatini, University of Urbino, Italy

Best Regards,
Nourhan Ehab, Ph.D.
Lecturer
Department of Computer Science and Engineering
Faculty of Media Engineering and Technology
German University in Cairo
New Cairo City - Main Entrance Al Tagamoa Al Khames
Egypt
Office: C7.309

[cid:image001.png at 01D966DF.44A51530]


-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://kr.org/pipermail/planetkr/attachments/20260201/8a7e7b46/attachment-0001.htm>
-------------- next part --------------
A non-text attachment was scrubbed...
Name: 393429071A59480EA6184BB1182B0A53[18421978].png
Type: image/png
Size: 11455 bytes
Desc: 393429071A59480EA6184BB1182B0A53[18421978].png
URL: <http://kr.org/pipermail/planetkr/attachments/20260201/8a7e7b46/attachment-0001.png>