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Synthetic data alone can match real-world GAD performance, but unlocking further gains requires models that explicitly fuse topological and semantic evidence.
PACT achieves state-of-the-art performance in medical dialogue systems by leveraging a unique combination of multi-paradigm synthesis and consensus training, all while safeguarding patient data.
