Sub-journal AI
AI, Machine Learning & Data Science
Model architectures, training and evaluation methodology, data-centric work, interpretability, alignment and applied machine learning.
Published in this sub-journal
IJAGR/2026/AI/0003
Reporting standards for prompt-dependent results: a minimum specification for reproducible AI experiments
M. Haddad, S. Iwuchukwu · Volume 1, Issue 2
Results obtained from instruction-following models are frequently reported without the information needed to reproduce them: exact model version, decoding parameters, prompt text, seeds, and date of access. We specify a …
Desk-rejection criteria specific to this discipline
- Evaluation on contaminated or undisclosed data
- No baselines, seeds or variance reporting
- Prompt-level findings presented as model capabilities
The criteria that apply in every sub-journal are additional to these: 7 general grounds, listed on the sub-journal register.