An LLM-agent framework with a tool-grounded judge plans constrained retrosynthesis routes and reports 72.9% success on a curated 48-task benchmark, near human expert level.
Rocksdb, 2024
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LARC: Towards Human-level Constrained Retrosynthesis Planning through an Agentic Framework
An LLM-agent framework with a tool-grounded judge plans constrained retrosynthesis routes and reports 72.9% success on a curated 48-task benchmark, near human expert level.