The International Workshop on Prompt Engineering Large Language Models (PromptEng2024)

26-29 November, 2024 | Dubai, UAE

Colocated with

The 2nd International Conference on Foundation and Large Language Models (FLLM2024)

The International Workshop on Prompt Engineering Large Language Models (PromptEng2024)

Call for Papers

Prompt engineering stands at the forefront of harnessing the potential of foundation models (FMs) and Large Language Models (LLMs). In the rapidly evolving landscape of AI, understanding the intricacies of prompt design is paramount for unleashing the full capabilities of models like BERT, T5, ChatGPT, and others. This workshop aims to delve deep into the realm of prompt engineering, exploring topics ranging from human-centric design principles to ethical considerations. By fostering collaboration and discussion, we seek to address challenges such as bias mitigation, transparency, and accountability while charting a course towards ethical AI development. Join us as we navigate the complexities of prompt engineering and shape the future of language models.

Authors are invited to submit their original work, which is not submitted elsewhere, to this workshop. The accepted papers of the workshop will be published by the IEEE Conference Publishing Services (CPS) and will be submitted for inclusion in the IEEE-Xplore and the IEEE Computer Society (CSDL) digital libraries. We invite the submission of original papers on all related topics related to PromptEng, with special interest in but not limited to:

  • Prompt Engineering Techniques
  • Human-Centric Design Principles in Prompt Engineering for LLMs
  • Strategies and Bias Mitigation in Prompt Design for Diverse Applications
  • Transparency, Accountability, and Ethical Considerations in LLMs Development
  • Trade-offs in Prompt Design: Balancing Utility and Performance
  • Collaborative and Continuous Improvement Strategies in Prompt Engineering
  • Ethical Prompt Engineering: Cross-Cultural and Multilingual Challenges and Solutions
  • Fostering User Trust and Ethical AI through Effective Prompt Engineering Practices
  • Fine tuning

Organization Committee

  • Shadi AlZu’bi, AlZaytoonah University of Jordan, Jordan
  • Weiwei Jiang, Beijing University of Posts and Telecommunications, China
  • Honghao Gao, Shanghai University, China
  • Gunasekaran Manogaran, Universidad Distrital Francisco José de Caldas, Colombia
  • Saqib Saeed, Imam Abdulrahman Bin Faisal University, Saudi Arabia
  • El-Ghazali Talbi, University of Lille, France
  • Samir Ouchani, CESI, France
  • Ahmad Quttoum, The Hashemite University, Jordan
  • Samar Hendawi, AlZaytoonah University of Jordan, Jordan


FLLM2024 Keynote at

Authors Submission Guidelines:

Submission Site:

Paper format

Submitted papers (.pdf format) must use the A4 IEEE Manuscript Templates for Conference Proceedings. Please remember to add Keywords to your submission.


Submitted papers may be 6 to 8 pages. Up to two additional pages may be added for references. The reference pages must only contain references. Overlength papers will be rejected without review.


Papers submitted to GenAISE must be the original work of the authors. The may not be simultaneously under review elsewhere. Publications that have been peer-reviewed and have appeared at other conferences or workshops may not be submitted to GenAISE. Authors should be aware that IEEE has a strict policy with regard to plagiarism The authors' prior work must be cited appropriately.

Author list

Please ensure that you submit your papers with the full and final list of authors in the correct order. The author list registered for each submission is not allowed to be changed in any way after the paper submission deadline.


Please proofread your submission carefully. It is essential that the language use in the paper is clear and correct so that it is easily understandable. (Either US English or UK English spelling conventions are acceptable.)


All accepted papers in GenAISE 2024 and FLLM 2024 will be submitted to IEEEXplore for possible publication.


The program will be announced with the FLLM 2024 program at


For venue and acomodoation information, please visit


For registration information, please visit

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