RetroDFM-R: Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning

Name: RetroDFM-R: Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning
Uploaded: 2026-08-30T05:48:49.319819+00:00
Duration: 387 s
Description: The episode discusses 'RetroDFM-R,' an AI that predicts chemical synthesis routes by working backward from a target molecule. Hosts detail its three-stage training process—including continual pretraining and reinforcement learning—and highlight its impressive performance on benchmarks, suggesting a major shift in drug discovery.

The episode discusses 'RetroDFM-R,' an AI that predicts chemical synthesis routes by working backward from a target molecule. Hosts detail its three-stage training process—including continual pretraining and reinforcement learning—and highlight its impressive performance on benchmarks, suggesting a major shift in drug discovery.

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