Papers with vision APIs

1 papers
MM-Reasoner: A Multi-Modal Knowledge-Aware Framework for Knowledge-Based Visual Question Answering (2023.findings-emnlp)

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Challenge: Recent knowledge-based visual question answering approaches miss visual information captured by captions and cannot fully utilize the visual information required to answer the question.
Approach: They propose a framework that extracts visual information from an image and prompts an LLM to extract query-specific knowledge from the extracted textual information.
Outcome: Empirical results show that MM-Reasoner achieves state-of-the-art performance on several KVQA datasets.

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