Mahmood Hegazy — accepted AI-conference papers

2026

MAFA: A Multi-Agent Framework for Enterprise-Scale Annotation with Configurable Task Adaptation

Mahmood Hegazy, Aaron Rodrigues, Azzam Naeem

AAAI 2026technical

We present MAFA (Multi-Agent Framework for Annotation), a production-deployed system that transforms enterprise-scale annotation workflows through configurable multi-agent collaboration. Addressing the critical challenge of annotation backlogs in financial services, where millions of customer uttera

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2026

Persistent Instability in LLM’s Personality Measurements: Effects of Scale, Reasoning, and Conversation History

Tommaso Tosato, Saskia Helbling, Yorguin-Jose Mantilla-Ramos, Mahmood Hegazy, Alberto Tosato, David John Lemay +2

AAAI 2026technical

Large language models require consistent behavioral patterns for safe deployment, yet there are indications of large variability that may lead to an instable expression of personality traits in these models. We present PERSIST (PERsonality Stability in Synthetic Text), a comprehensive evaluation fra

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