Counterfactual Modelling Using Vision-Linguistic Models
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Investigates generating counterfactual scenarios through integration of visual and linguistic data to enhance AI interpretability and reliability, focusing on applications such as autonomous driving and medical diagnostics. This research highlights the potential of vision-linguistic models in creating diverse, hypothetical scenarios for advanced problem-solving and decision-making processes.