A multi-agent, retrieval-augmented search framework lets a 7B language model outperform larger baselines on drug-target interaction prediction, but its headline recall relies on knowing the ground-truth output count.
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DrugMCTS: a drug repurposing framework combining multi-agent, RAG and Monte Carlo Tree Search
A multi-agent, retrieval-augmented search framework lets a 7B language model outperform larger baselines on drug-target interaction prediction, but its headline recall relies on knowing the ground-truth output count.