MemEyeBench/MemEye

MemEye Paper | Project Page | Official Code MemEye is a visual-centric multimodal memory benchmark for evaluating agents that need to remember and reason over long-running image-grounded dialogues. It evaluates memory capabilities across two axes: visual evidence granularity (from scene-level to pixel-level) and memory reasoning depth (from atomic retrieval to evolutionary synthesis). The dataset includes 371 mirrored MCQ + open-ended questions across 8 life-scenario tasks… See the full description on the dataset page: https://huggingface.co/datasets/MemEyeBench/MemEye.

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