Empowering Machine Learning and Large Language Models with Domain and Commonsense Knowledge (AAAI-MAKE 2024)

AAAI Spring Symposium on Empowering Machine Learning and Large Language Models with Domain and Commonsense Knowledge
March 25-27, 2024 @ Stanford University, California, USA

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.

AAAI-MAKE 2024 • AAAI Spring Symposium Series

AAAI-MAKE 2024 is part of the AAAI Spring Symposium Series, an annual set of meetings run in parallel held at Stanford University, Palo Alto, California, USA.

The AAAI Spring Symposium Series «[…] is designed to bring colleagues together in an intimate forum while at the same time providing a significant gathering point for the AI community.

The two and one half-day format of the series allows participants to devote considerably more time to feedback and discussion than typical one-day workshops. It is an ideal venue for bringing together new communities in emerging fields.» (aaai.org)

March 25-27, 2024 @ Stanford University, California, USA

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 and position/poster/short papers 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.

  • Full papers (6 to 8 pages) and position/short/poster papers (2 to 4 pages) can include recent or ongoing research, challenges with datasets, and surveys.
  • Industrial side-tutorial event or demonstration proposals (1 to 2 pages) should have a focus on business or research related to the symposium topics, excluding product advertising.
  • Discussion proposals (1 page) should contain a description of the specific topic with a list of questions and a discussion moderator.

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