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Advancing Human-AI Interaction: Exploring Visual Question Answering (VQA) Datasets

Heartbeat

As AI strives to emulate human-like understanding, VQA plays a pivotal role by demanding systems to recognize objects and scenes in images and comprehend and respond to human-generated questions about those images. This exemplifies the capabilities of Visual Question Answering, transcending mere image recognition.

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The State of Multilingual AI

Sebastian Ruder

Models that allow interaction via natural language have become ubiquitious. Research models such as BERT and T5 have become much more accessible while the latest generation of language and multi-modal models are demonstrating increasingly powerful capabilities. Bender [2] highlighted the need for language independence in 2011.