Dear Wikimedia researchers,

Many of you already work in the field of LLMs and Knowledge Graphs (e.g., Wikidata). We would therefore like to share the first call for papers of:

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/.

*Organising Committee*

Russa Biswas, Hasso Plattner Institut

Lucie-Aimée Kaffee, Hasso Plattner Institut

Oshin Agarwal, Bloomberg

Pasquale Minervini, University of Edinburg

Sameer Singh, University of California

Gerard de Melo, Hasso Plattner Institut