KaLLM 2024 : 1st Workshop on Knowledge Graphs and Large Language Models
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
Contact email: email@example.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.
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
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
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 firstname.lastname@example.org or visit https://kallmworkshop.github.io/kallm2024/.
Thank you and best regards,
Russa Biswas on behalf of Workshop Organisers
Hasso Plattner Institute, Germany