2 papers
cs.LG2026
Elite-Weighted Supervised Fine-tuning for Goal-Directed Molecular Optimization
Shiyun Wa, Yifei Wang, Anna G. Green +2
Goal-directed optimization is essential for steering molecular generators to propose candidates with desired properties. However, it is often implemented with policy-gradient reinf…
cs.LG2025
Iterative Foundation Model Fine-Tuning on Multiple Rewards
Pouya M. Ghari, Simone Sciabola, Ye Wang
Fine-tuning foundation models has emerged as a powerful approach for generating objects with specific desired properties. Reinforcement learning (RL) provides an effective framewor…