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Language-derived chemical priors can significantly enhance 3D molecular generation, achieving better medicinal chemistry metrics without the overhead of fine-tuning.
EvoTS-Agent not only outperforms existing models in financial change-point detection but does so with a flawless execution success rate across multiple datasets.
Forget months of manual experimentation: ResearchEVO autonomously discovers and documents novel scientific algorithms, even generating the LaTeX paper.
By explicitly optimizing for both reasoning structure and chemical consistency, Logos offers a pathway to reliable and interpretable AI systems for molecular science, outperforming larger models with a fraction of the parameters.
