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Unleashing the Power of Synergy: ACL 2024 Workshop on Knowledge Graphs and Large Language Models

Get ready to delve into the exciting world of Knowledge Graphs and Large Language Models (LLMs) at the 1st Workshop on Knowledge Graphs and Large Language Models (KaLLM)! This event, co-located with ACL 2024 in Bangkok, Thailand, aims to bring together researchers, practitioners, and industry professionals to explore the immense potential of these two cutting-edge fields. The KaLLM workshop offers a unique opportunity for the LLM community and the KG research community to interact, collaborate, and support one another.

The workshop invites high-quality research contributions in the form of short or long papers and resource papers. All submissions will undergo a rigorous double-blind review process, with accepted papers presented at the workshop. The scope of the workshop covers a wide range of topics related to the integration of LLMs and KGs, including knowledge-enhanced language generation, KG-based question answering using LLMs, fact validation, KG creation and completion using LLMs, privacy considerations, interpretability, cross-domain applications, and ethical implications, among others.

Key Dates:

  • Submission Deadline: May 10, 2024
  • Author Notifications: June 17, 2024
  • Camera-Ready Deadline: July 1, 2024
  • Workshop Date: August 15, 2024

Don’t miss this opportunity to be part of a vibrant, interdisciplinary community and contribute to the future of Knowledge Graphs and Large Language Models! For more information, visit the workshop website or send an email to kallmworkshop2024 at googlegroups.com.

Join us in Bangkok and help shape the future of AI!

Warm Regards,

Workshop Organizers:

  • Russa Biswas, Hasso Plattner Institute, Germany
  • Lucie Aimée Kaffee, Hasso Plattner Institute, Germany
  • Oshin Agarwal, Bloomberg, USA
  • Pasquale Minervini, University of Edinburgh, UK
  • Sameer Singh, University of California, Irvine, USA
  • Gerard de Melo, Hasso Plattner Institute, University of Potsdam, Germany

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