Field of Study:

Generative Question Answering is a task where a model generates human-like responses in natural language to answer questions posed by users. Instead of selecting a pre-existing answer from a set of options (as in multiple-choice questions), generative question answering models generate responses from scratch based on their understanding of the input question and available knowledge, making them capable of providing more contextually relevant and open-ended answers.

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