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Chinese Academy of Sciences, University of Chinese Academy of Sciences
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NeuroRefiner's multi-agent approach achieves a 3.02% boost in segmentation accuracy, setting a new benchmark for neuron morphology challenges in microscopy.
Reducing manual proofreading time by over 33% while achieving superior neuron tracing accuracy could revolutionize the analysis of large-scale neural connectivity maps.
LLMs can dynamically optimize the training curriculum of multimodal retrieval models, leading to significant gains in retrieval accuracy by adapting to the model's evolving state.
