This work designs five types of multimodal tasks across text, molecular SMILES strings and images, and curates the datasets, demonstrating the feasibility of unifying multiple cross-modal chemical tasks within a single foundation model and enabling more intuitive, visual human-AI interaction.
Qian Tan, Di Zhang, Ben Gao et al.· arXiv.org· 16 citations
Adaptive FastOPD is proposed, a progress-aware strategy that expands the rollout horizon only when learning near the current boundary region has plateaued and the current horizon is sufficiently utilized, and remains robust across a range of hyperparameter settings.
The results suggest that coupling generation with executable verification and feedback-guided refinement is an effective way to improve text-to-molecule generation.
Qian Tan, Xuanyu Zhu, Lei Jiang et al.· arXiv.org· 0 citations
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