
The author proposes memory-augmented Generative Adversarial Transformers to enhance conversational AI systems by incorporating external data. This approach aims to improve factual question-answering and style adaptation in dialogues.


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Memory-Augmented-Generative-Adversarial-Transformers-Enhancing-Conversational-AI-Systems-with-External-Data


Memory-Augmented Generative Adversarial Transformers: Enhancing Conversational AI Systems with External Data


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Erweiterung von Transformers mit externem Wissen verbessert die Leistung für Faktenbeantwortung und Stilanpassung.
