Dear colleagues, We would like to invite you to submit the unpublished results of your research on Knowledge Graphs and Large Language Models to:
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: [email protected] 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 [email protected] 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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