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AAAI-MAKE 2024 : AAAI 2024 Spring Symposium on Empowering Machine Learning and Large Language Models with Domain and Commonsense Knowledge


When Mar 25, 2024 - Mar 27, 2024
Where Stanford University, California, USA
Submission Deadline Jan 7, 2024
Notification Due Jan 31, 2024
Final Version Due Feb 14, 2024
Categories    artificial intelligence   machine learning   knowledge engineering   large language models

Call For Papers

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.

Topics and Format

Key topics of discussion will include, but are not limited to:

• Trustworthy and knowledge-based explainable AI
• Evaluation of Commonsense Knowledge and Reasoning in Large Language Models
• Commonsense Knowledge in Foundation and Large Language Models
• Interpretability and Safety of Large Language Models with Commonsense Knowledge
• Human-Centered AI, Dialogue Systems, and Conversational AI
• Hybrid and Neurosymbolic AI
• Combination of Knowledge Engineering and Machine Learning
• Integration of Commonsense Knowledge Sources with LLMs and Downstream Tasks

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.

We solicit full papers (6 to 8 pages) and position/short/poster papers (2 to 4 pages) that can include recent or ongoing research, challenges with datasets, and surveys. All submissions must reflect the formatting instructions of the AAAI author kit ( and be submitted through EasyChair (

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.

Important Dates

• Submission: 7th of January 2024
• Notification: 31st of January 2024
• Camera-ready submission: 14th of February 2024
• Symposium: 25-27 of March 2024

Organizing Committee

• Andreas Martin (primary contact), FHNW, Olten, Switzerland
• Pedro A. Colon-Hernandez, Apple Inc., CA, USA
• Maaike de Boer, TNO, The Hague, Netherlands
• Aurona Gerber, University of the Western Cape, Cape Town, South Africa
• Knut Hinkelmann, FHNW, Olten, Switzerland
• Pascal Hitzler, Kansas State University, Manhattan, KS, USA
• Jane Yung-jen Hsu, National Taiwan University, Taipei, Taiwan
• Yen-Ling Kuo, University of Virginia, VA, USA
• Xiang Lorraine Li, University of Pittsburgh, PA, USA
• Thomas Schmid, Martin Luther University Halle-Wittenberg, Germany
• Paulo Shakarian, Arizona State University, Tempe, AZ, USA
• Reinhard Stolle, Argo AI GmbH, München, Germany
• Frank van Harmelen, VU University, Amsterdam, Netherlands

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