Connectionists: Call for Participation (CfP) — AAAI 2024 Spring Symposium on Empowering Machine Learning and Large Language Models with Domain and Commonsense Knowledge (AAAI-MAKE 2024)

Pascal Hitzler phitzler at googlemail.com
Tue Nov 21 11:04:25 EST 2023


Dear colleague,
It is a pleasure to invite you to submit a paper to the AAAI 2024 Spring 
Symposium on Empowering Machine Learning and Large Language Models with 
Domain and Commonsense Knowledge (AAAI-MAKE 2024).
The symposium is scheduled to be held on March 25-27, 2024, at Stanford 
University, Palo Alto, California, USA.

We appreciate you sharing this Call for Participation (CfP) within your 
network and community.
I am looking forward to seeing you at AAAI-MAKE 2024!
On behalf of the organizing committee — kind regards,
Andreas Martin
———————————————

AAAI 2024 Spring Symposium on


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

March 25-27, 2024 @ Stanford University, Palo Alto, California, USA
https://www.aaai-make.info | *Submission: 7th of January 2024*
/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.


        Submission

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 
(https://www.aaai-make.info/authors/) and be submitted through EasyChair 
(https://easychair.org/conferences/?conf=sss24).
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

-- 
Pascal Hitzler
Lloyd T. Smith Creativity in Engineering Chair
Director, Center for AI and Data Science CAIDS
Co-Director, Inst. for Digital Agriculture and Advanced Analytics ID3A
Kansas State Universityhttp://www.pascal-hitzler.de
http://www.daselab.org     http://www.semantic-web-journal.net
http://k-state.edu/ID3A    https://neurosymbolic-ai-journal.com
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