MAT-Cell achieves 75.5% average accuracy on single-cell annotation benchmarks using multi-agent tree reasoning and debate, outperforming CoT (64.2%) and scPilot (51.9%) baselines.
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MAT-Cell: A Multi-Agent Tree-Structured Reasoning Framework for Batch-Level Single-Cell Annotation
MAT-Cell achieves 75.5% average accuracy on single-cell annotation benchmarks using multi-agent tree reasoning and debate, outperforming CoT (64.2%) and scPilot (51.9%) baselines.