Advancing Interpretability in Sequential Models Through Generative AI Rationalization Using GPT-4
In this study, we investigate the role of Generative Pre-trained Transformer 4 (GPT-4) in enhancing interpretability of sequential predictions in Natural Language Processing (NLP). Our study introduces a hybrid model that integrates traditional sequential prediction models with GPT-4, aiming to gene...
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2025
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| Online Access: | https://bspace.buid.ac.ae/handle/1234/3166 |
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