Jinbo Hu

Reaction figures in the chemical literature often pack several experiments into one shared template, substituent table and product grid, and recovering concrete reaction records from them has meant manual transcription. RxnMiner combines an expert-informed extraction procedure with a chemistry toolbox in one multimodal agent: it reads structures, binds evidence to each experimental entry, and instantiates undrawn reactants with a deterministic R-group engine. On ChemRxn-Bench, 603 reaction figures with 8,547 annotated records, it reaches 71.0% stereochemistry-aware reaction macro-F1 with a Qwen3.8-Flash-Next backbone, against 21.0% for direct prediction and 25.0% for the strongest existing extraction system.

Reaction figures in the chemical literature often pack several experiments into one shared template, substituent table and product grid, and recovering concrete reaction records from them has meant manual transcription. RxnMiner combines an expert-informed extraction procedure with a chemistry toolbox in one multimodal agent: it reads structures, binds evidence to each experimental entry, and instantiates undrawn reactants with a deterministic R-group engine. On ChemRxn-Bench, 603 reaction figures with 8,547 annotated records, it reaches 71.0% stereochemistry-aware reaction macro-F1 with a Qwen3.8-Flash-Next backbone, against 21.0% for direct prediction and 25.0% for the strongest existing extraction system.