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Research questionHow can language models learn multi-objective molecular design when chemical reward evaluations are expensive?Molecular design requires searching a large chemical space while balancing objectives that may conflict. Chemically meaningful reward functions can be too slow or costly to use throughout online training.
AI
LLM Pretraining & Post-training
Machine Learning
Reinforcement Learning
Research Paper
Latest papersRecent research connected to this question, newest first.Training Large Language Models for Small-Molecule Design with Synthetic Task ScalingThe source investigates reinforcement learning with verifiable rewards and curriculum-based synthetic tasks for language-model molecular design. It evaluates transfer to structure-based lead optimization, but does not establish applicability across all drug-discovery tasks or chemical scoring settings.research paper · Sep 4, 2026
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