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Current LVLMs are inadequate at fine-grained image recognition, revealing critical bottlenecks in visual and semantic processing that need urgent attention.
VLMs struggle to simultaneously optimize for both logical accuracy and aesthetics when generating academic illustrations, a challenge that test-time scaling can significantly alleviate.
