Memory-Efficient Probabilistic Neuro-Symbolic Integration for Explainable Natural Language Inference Using Transformer-Based Foundation Models

Background: Transformer-based foundation models have achieved state-of-the-art results in various natural language inference benchmarks, but their decision-making processes remain largely unexplainable. Addressing the ’explainability gap’ is crucial for responsible AI adoption in highrisk industrie...

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Hauptverfasser:	Zahraa Sameer Ibrahim, Haedar Ahmed Mukhef, Hayder Hasan Ali
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Mustansiriyah University 2026-06-01
Schriftenreihe:	Al-Mustansiriyah Journal of Science
Schlagworte:	Explainable AI Neuro-Symbolic AI BERT Transformer models Memory optimization e-SNLI
Online-Zugang:	https://mjs.uomustansiriyah.edu.iq/index.php/MJS/article/view/1871
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