C-MORAL: Controllable Multi-Objective Molecular Optimization with Reinforcement Alignment for LLMs 事件

C-MORAL: Controllable Multi-Objective Molecular Optimization with Reinforcement Alignment for LLMs arXiv:2604.23061v2 Announce Type: replace-cross Abstract: Large language models (LLMs) show promise for molecular optimization, but aligning them with selective and competing drug-design constraints remains challenging. We propose C-Moral, a reinforcement learning post-training framework for controllable multi-objective molecular optimization. C-Moral combines group-based relative optimization, pr