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KR meets Machine Learning and Explanation
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Call for Papers: KR meets Machine Learning and Explanation kr.org 16 facts
procedureAuthors submitting to the KR 2026 special track 'KR meets Machine Learning and Explanation' who use LLMs in the writing process assume full responsibility for the content, including plagiarism and correctness, and must properly document any text generated by an LLM used in the methodology or experimental analysis.
procedureThe KR 2026 'KR meets Machine Learning and Explanation' track accepts long papers up to 9 pages and short papers up to 4 pages, excluding references and acknowledgements.
claimThe KR 2026 special track 'KR meets Machine Learning and Explanation' invites research on explainability, including KR-driven Explainable AI, interpretable ML models intertwined with KR, theoretical frameworks for explainability, evaluation protocols for explanations, and interactive explanation frameworks.
procedureThe KR 2026 special track 'KR meets Machine Learning and Explanation' mandates that all submissions must fall into the intersection of Knowledge Representation and either Machine Learning or explanation; papers that do not meet this criterion will be desk-rejected before the review process begins.
claimThe KR 2026 special track 'KR meets Machine Learning and Explanation' prohibits Generative AI models from being listed as authors on any submitted papers.
claimThe KR 2026 special track invites contributions that use Knowledge Representation (KR) methods to explain AI models, or that explain numeric and symbolic models themselves.
measurementThe KR 2026 special track 'KR meets Machine Learning and Explanation' has a submission deadline for titles and abstracts on February 12, 2026, and a full paper submission deadline on February 19, 2026.
measurementThe KR 2026 special track 'KR meets Machine Learning and Explanation' has an author response period from March 24-28, 2026, notification of acceptance on April 13, 2026, and a camera-ready deadline on May 3, 2026.
claimThe chairs for the KR 2026 'KR meets Machine Learning and Explanation' track are Claudia d’Amato (University of Bari, Italy), Ute Schmid (University of Bamberg, Germany), and Antonio Rago (King’s College London, UK).
procedureAccepted papers for the KR 2026 'KR meets Machine Learning and Explanation' track will be published in the KR 2026 proceedings, and at least one author of each accepted paper must participate in the conference and present the work.
claimThe KR 2026 special track on 'KR meets Machine Learning and Explanation' aims to focus on the synergistic interactions between Knowledge Representation (KR) and the fields of Machine Learning (ML) and explanation.
procedureSubmissions to the KR 2026 'KR meets Machine Learning and Explanation' track must be anonymous.
claimThe KR 2026 special track invites contributions that use Knowledge Representation (KR) methods to solve Machine Learning (ML) challenges, use ML methods to solve KR challenges, or integrate learning and reasoning for better modeling, solving, or explaining tasks.
claimThe KR 2026 special track 'KR meets Machine Learning and Explanation' invites research on the intersection of Knowledge Representation and Machine Learning, specifically covering topics such as learning symbolic knowledge (ontologies, knowledge graphs, action theories), KR-driven plan computation, logic-based learning, neural-symbolic learning, statistical relational learning, symbolic reinforcement learning, and the mutual use of KR techniques and LLMs.
procedureAuthors submitting to the KR 2026 'KR meets Machine Learning and Explanation' track may provide supplementary material such as proof details, experimental results, or design details in a PDF or ZIP file up to 100 MB, though this material will not be published and reviewers are not obligated to consult it.
claimThe KR 2026 special track welcomes papers focusing on evaluation protocols and benchmarking of hybrid solutions that combine Knowledge Representation (KR) with Machine Learning (ML) or explanation.
[PlanetKR] [CfP] KR 2026 Special track: KR meets Machine ... kr.org 2 facts
KR 2026 : 23rd International Conference on Principles of ... - WikiCFP wikicfp.com 1 fact
claimThe KR 2026 conference will include a Main track and two special thematic tracks: 'KR meets Machine Learning and Explanation' and 'KR in the Wild'.