Overview
The upcoming 3rd Prompt Engineering Workshop will be held during The Web Conference (WWW) 2026 on April 13–14, 2026. This workshop aims to delve into the latest advancements in prompt engineering, a critical area in the field of artificial intelligence and machine learning. It serves as a platform for researchers and practitioners to share their insights and findings on various aspects of prompting strategies and their applications across ML systems.
Background & Relevance
Prompt engineering has emerged as a vital component in optimizing the performance of large language models (LLMs) and other machine learning systems. As AI technologies continue to evolve, understanding how to effectively design and evaluate prompts becomes increasingly important. This workshop will explore theoretical foundations, empirical studies, and novel applications that contribute to the advancement of this field, making it relevant for researchers and industry professionals alike.
Key Details
- Submission Deadline: December 18, 2025
- Notification of Acceptance: January 13, 2026
- Camera-Ready Submission: February 2, 2026
- Workshop Dates: April 13–14, 2026
- Workshop Page: Prompt Engineering Workshop 2026
- Social Media: X
Eligibility & Participation
This workshop is targeted at researchers, practitioners, and students who are engaged in the field of prompt engineering and related areas. Contributions from diverse perspectives are encouraged, fostering a rich dialogue on the subject.
Submission or Application Guidelines
Participants interested in contributing to the workshop should prepare their submissions according to the guidelines provided on the workshop page. The submissions should focus on various aspects of prompt engineering, including but not limited to:
– Prompting strategies
– Evaluation methods
– Alignment and robustness
– Interfaces for LLMs
– Applications across machine learning systems
More Information
The significance of prompt engineering cannot be overstated in the context of modern AI applications. As LLMs become more prevalent, the need for effective prompting strategies is critical for ensuring their utility and reliability. This workshop will provide a forum for discussing these challenges and exploring innovative solutions that can enhance the performance of AI systems.
Conclusion
The 3rd Prompt Engineering Workshop at WWW 2026 presents an excellent opportunity for those involved in AI and machine learning to engage with cutting-edge research and share their findings. Researchers and practitioners are encouraged to submit their work and participate in this important dialogue. We look forward to your contributions and hope to see many of you at the workshop!
Category: CFP & Deadlines
Tags: prompt engineering, ml, www 2026, machine learning, large language models, evaluation, robustness, applications, empirical studies, theoretical foundations
