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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