Abstract: This research introduces a novel approach for automating the generation of structured clinical reports from chest radiographs by fine-tuning a pre-trained vision-language model (VLM). We ...
Abstract: Knowledge-based Visual Question Answering (VQA) is a challenging task that requires models to access external knowledge for reasoning. Large Language Models (LLMs) have recently been ...
In vision-language models (VLMs), visual tokens usually consume a significant amount of computational overhead, despite their sparser information density compared to text tokens. To address this, ...
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