Mechanically Interlocked Pyrene-Based Photocatalysts
Nature Catalysis(2022)SCI 1区
- Pretraining has recently greatly promoted the development of natural language processing (NLP)
- We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
- We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
- The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
- Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance

被引用20
被引用7
Pyrene-based Conjugated Microporous Polymers for Red Light-Powered Oxidation of Amines to Imines
被引用34
Thermally Controlled Exciplex Fluorescence in a Dynamic Homo[2]catenane
被引用16
被引用2
A Nitrogen-Based Chiral Catenane for Enantioenriching Photocatalytic Aerobic Oxidation
被引用3
被引用4
Divinylanthracene-Containing Tetracationic Organic Cyclophane with Near-Infrared Photoluminescence
被引用8
被引用30
被引用10
被引用17
被引用12
被引用1
Zwitterionic Cyclophane Molecules: Toward Novel Functional Materials
被引用1
Pyrene-based Porous Organic Materials for Visible Light Photocatalysis
被引用11
Mechanical Bond Induced Enhancement and Purification of Pyrene Emission in the Solid State.
被引用2
Synthesis and Properties of Tetraphenylethene Cationic Cyclophanes Based on O-Carborane Skeleton
被引用2
被引用0
Triplet Management at Ligand-Perovskite Interface to Enhanced Photovoltaics Performance
被引用1
Mechanically Rigid Metallopeptide Nanostructures Achieved by Highly Efficient Folding
被引用0
被引用0
被引用0
被引用0