Image Question Pair

Image Question Answering (VQA) focuses on developing systems that can accurately answer questions posed about images, requiring sophisticated multimodal understanding of both visual and linguistic information. Current research emphasizes improving model performance on diverse cultural contexts and complex, compositional questions, often leveraging large language models (LLMs) and vision transformers (ViTs) integrated into multimodal architectures. This field is crucial for advancing artificial intelligence, with applications ranging from assistive technologies for visually impaired individuals to more nuanced and culturally sensitive AI systems for broader societal use. Furthermore, ongoing work addresses challenges like handling unanswerable questions and reducing biases in training data.