Author

Chuan-Yuan Tan

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#machine learning Preprint Sep 2026

MARCO: Multi-Round Agentic Reinforcement for Conditional Molecular Optimization

This work introduces MARCO, an evaluator-grounded reinforcement-learning framework that trains molecular editors on bounded proposal--feedback--revision trajectories and aggregates shaped turn rewards into an undiscounted trajectory return for group-relative policy optimization.

Shi-Cheng Fang, Yu-Xin Wang, Zhuo Yang et al. · 0 citations

#natural language process... Preprint Aug 2026

What Makes Agent Memory Useful for Reliable Unanswerable Question Handling?

It is found that memory can improve UAQ performance in some settings, but such gains are selective rather than universal and remain fragile under dataset shift, suggesting that reliable UAQ memory depends less on storing larger amounts of experience and more on preserving transferable behavioral guidance.

Chuanyuan Tan, Junpu Yu, Yuxia Wang et al. · 0 citations