A hybrid system that learns symbolic interval constraints from a few examples and uses an LLM plus rejection filtering to generate new candidate drug molecules.
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Symbolic Neural Generation with Applications to Lead Discovery in Drug Design
A hybrid system that learns symbolic interval constraints from a few examples and uses an LLM plus rejection filtering to generate new candidate drug molecules.