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Visual evidence can now actively drive long-horizon multimodal search, transforming how agents interact with complex information.
TRCGL-Net achieves a remarkable tail-class mAP of 0.4904, setting a new benchmark for rare disease recognition in chest X-ray classification.
GGATN achieves reliable full event sequence generation with zero hallucinations, outperforming traditional LLMs by integrating structured process graphs into its architecture.
