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Joshua Abah

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Review Open access Jul 2026

Optimising Domain-Specific Neuron Activation for Efficient Multimodal Language Understanding In Cloud AI Systems

A unified four-quadrant taxonomy of efficiency strategies is proposed, an integrated future-research agenda built on three converging innovations: adaptive cross-modal attention re-weighting, knowledge-injection pathways, and sparse domain-conditioned neuron gating are outlined, and the cloud-aware evaluation framework that would validate them are outlined.

Olom Ogar Austin, Joshua Abah, Ali Muhammad et al. · 0 citations
Review

A Survey of Hallucinations in Multimodal Large Language Models with Mitigation Strategies

This survey provides a comprehensive treatment of the field across five interconnected dimensions, proposing a unified five-class taxonomy that organizes hallucinations by their failure mode: object, attribute, relational, factual, factual, and reasoning.

A. O. Ogar, Joshua Abah, M. Suleiman et al. · 0 citations