RetroDFM-R, a ChemDFM-based LLM trained with reasoning distillation and reinforcement learning, reaches 65.0% top-1 retrosynthesis accuracy on USPTO-50K.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CE 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning
RetroDFM-R, a ChemDFM-based LLM trained with reasoning distillation and reinforcement learning, reaches 65.0% top-1 retrosynthesis accuracy on USPTO-50K.