Noise-Aware Visual Representation Learning for Medical Visual Question Answering 事件

Noise-Aware Visual Representation Learning for Medical Visual Question Answering arXiv:2606.05535v1 Announce Type: new Abstract: Medical visual question answering (Med-VQA) has strong potential for clinical decision support by enabling AI models to interpret medical images and answer clinically relevant queries. Recent approaches typically connect off-the-shelf vision encoders with large language models (LLMs) through lightweight mapping networks to reduce computational cost. However, these met