Author

M. Bandara

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#artificial intelligence Preprint Sep 2026

CUNO: Curriculum and Preference Optimization for Stable Graph Unlearning under Mass Deletion

Graph unlearning removes the influence of designated training data from a trained graph model without retraining from scratch. However, existing methods suffer a sharp drop in model utility under large deletion ratios (mass deletion), a phenomenon we refer to as catastrophic unlearning. We find that a key cause is the...

Chenhan Zhang, Ali Braytee, M. Bandara et al. · 0 citations

Review Open access Aug 2026

Intelligent Business Document Processing Using AI- and NLP-Based Techniques: A Systematic Literature Review

The findings show that AI- and NLP-based methods have significantly improved the automation, retrieval, interpretation, and structuring of business documents, and large language models (LLMs), particularly when combined with prompt engineering, retrieval-augmented generation, knowledge graphs, and agent-based architect...

Naif N. Alotaibi, Morteza Saberi, M. Bandara et al. · Analytics · 0 citations