LOD 2023 Workshop

“Foundation Models – From Theory to Industrial Applications”

The Wordsword Hotel & SPA – Grasmere – Lake District, England 

Lecture Hall: Coleridge Suite

September 25-26, 2023


  • Language – Large Language Models (e.g., GPT family, BERT, Megatron-Turing NLG, …)
  • Vision – Large Vision Models (e.g., MAE, SimCLR, …)
  • Vision and Language (e.g., DALL.E, ALIGN, CLIP, …)
  • Beyond Vision and Language (e.g., Video, Knowledge-Graph, Structured Data, Multilingual, …)

Speakers (TBA)

Important Dates

  • Workshop paper submission deadline: Saturday June 10, 2023 (AoE)
  • Workshop paper acceptance decision to authors: by Monday July 10, 2023
  • Camera Ready Submission Deadline: by Monday July 10, 2023
  • All workshop papers must be submitted using EasyChair.
  • Workshop dates: September 25-26, 2023

All accepted papers  will be published in a volume of the series on Lecture Notes in Computer Science (LNCS) from Springer – Nature after the  conference (Conference Post-Proceedings).

The call for papers (CfP) for the LOD 2023 workshop on “Foundation Models” is the same CfP used for the entire LOD 2023 conference.

Organizer and Chair: Giuseppe Nicosia (


LOD 2023 Tracks

  • Track on “AI for Fintech
  • Track on “AI for Genome-scale Models
  • Track on “AI for Medicine and Biology
  • Track on “AI for Sustainability
  • Track on “AI to help to fight Climate Change
  • Track on “Artificial General Intelligence
  • Track on “Biologically Plausible Learning
  • Track on “Data Science for Sustainable Cities
  • Track on “Deep Learning for Bioengineering and Synthetic Biology
  • Track on “Deep Learning for Economic Applications
  • Track on “Deep Learning for Genomics
  • Track on “Deep Learning for Graphs
  • Track on “Deep Neuroevolution
  • Track on “Generative Adversarial Networks
  • Track on “Generative Artificial Intelligence
  • Track on “Geometric Deep Learning
  • Track on “Integrative Machine Learning
  • Track on “Large Language Modelspart of the Workshop on “Foundation Models
  • Track on “Large Vision Models” part of the Workshop on “Foundation Models
  • Track on “Vision and Language” part of the Workshop on “Foundation Models
  • Track on “Beyond Vision and Language” part of the Workshop on “Foundation Models
  • Track on “Multi-Objective Optimization
  • Track on “Multi-Task Learning
  • Track on “Reinforcement Learning
  • Track on “AI for Network/Cloud Management” (TBC)