Large language models (LLMs) are rapidly becoming interactive scientific assistants. Most existing pipelines rely on specialized molecular encoders and alignment modules, while overlooking the importance of chemical hierarchy and traceable evidence for reliable reasoning and explanation. Thus, we propose MolGlass, a da...
Runqing Xu, Xiaotang Wang, Chunfeng Gao et al.· Proceedings of the 32nd ACM...· 0 citations
ConRAG is proposed, a novel enhanced RAG framework to establish an information connection between retrievers and LLMs in RAG, thereby enhancing relationship modeling of LLMs and is suitable for low-resource scenarios where LLMs and retrievers are frozen.
Fu-Da Ye, Shuang-Yin Li, Yong-Qi Zhang et al.· ACM Transactions on Knowledg...· 0 citations
Empirical evaluation and robustness experiments show that M2DDI maintains high predictive accuracy even when modality-specific information is partially missing, outperforming existing methods under similar conditions and establish M2DDI as an effective and mechanism-aware solution for comprehensive DDI prediction.
Runqing Xu, Siyi Liu, Hao-Yang Li et al.· Proceedings of the 32nd ACM...· 0 citations
Empirical evaluation and robustness experiments show that M2DDI maintains high predictive accuracy even when modality-specific information is partially missing, outperforming existing methods under similar conditions and establish M2DDI as an effective and mechanism-aware solution for comprehensive DDI prediction.
Runqing Xu, Siyi Liu, Haoyang Li et al.· Proceedings of the 32nd ACM...· 0 citations
MolGlass is proposed, a data-centric paradigm for visual molecular understanding in vision-language models (VLMs) that injects chemical priors directly into the visual input through chemical-aware visual augmentations, without modifying model architectures or training molecule-specific encoders.
Runqing Xu, Xiaotang Wang, Chunfeng Gao et al.· Proceedings of the 32nd ACM...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
