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KaLLM 2024 : 1st Workshop on Knowledge Graphs and Large Language Models

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Link: https://kallmworkshop.github.io/kallm2024/
 
When Aug 15, 2024 - Aug 15, 2024
Where Bangkok, Thailand.
Submission Deadline May 10, 2024
Notification Due Jun 17, 2024
Final Version Due Jul 1, 2024
Categories    NLP   computational linguistics   artificial intelligene
 

Call For Papers

The 1st Workshop on Knowledge Graphs and Large Language Models (KaLLM), to be held on August 15, 2024, co-located with ACL 2024, Bangkok, Thailand.

First Call for Participation

Submission Deadline: May 10, 2024 at 23:59, UTC -12h, AoE

Website: https://kallmworkshop.github.io/kallm2024/

Contact email: kallmworkshop2024@googlegroups.com

The workshop intends to provide a platform for researchers, practitioners, and industry professionals to explore the synergies between LLMs and KGs. We aim to provide a space for the LLM community and the community of KG researchers to interact and explore how these two communities could collaborate and support one another.

Important Dates

Submission Starts: Feb 05, 2024

Submission Deadline: May 10, 2024

Author Notifications: June 17, 2024

Camera-Ready Deadline: July 1, 2024

Workshop Date: August 15, 2024

Submission Guidelines:

Papers must be submitted in PDF format using the official ACL template. More details are available on the website.

Scope of the workshop:

KaLLM invites quality research contributions as short or long papers and resource papers. All submissions will undergo a double-blind review process, and accepted submissions will be presented at the workshop.

The submissions should focus on the interaction between LLMs and KGs in the context of NLP. The workshop will cover a diverse range of topics related to the integration of LLMs and KGs, including but not limited to:

Knowledge-enhanced language generation

KG-based question answering using LLMs

Fact validation and bias mitigation

KG creation and completion using LLMs

Privacy considerations in LLM-KG integration

Interpretability and explainability

Cross-domain applications

KG-based text summarisation with LLMs

Ethical implications of LLM-KG technologies

Multimodality of KGs and LLMs

Multilingual LLMs for KGs and vice-versa

We look forward to receiving your submissions and having your valuable contribution to the success of the workshop. If you have any questions or require further information, please do not hesitate to contact us at kallmworkshop2024@googlegroups.com or visit https://kallmworkshop.github.io/kallm2024/.

Thank you and best regards,
Russa Biswas on behalf of Workshop Organisers

Postdoctoral Researcher
Hasso Plattner Institute, Germany



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