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of 611
pro vyhledávání: '"Liu, Zijing"'
Low-Rank Adaptation (LoRA) has gained popularity for fine-tuning large foundation models, leveraging low-rank matrices $\mathbf{A}$ and $\mathbf{B}$ to represent weight changes (i.e., $\Delta \mathbf{W} = \mathbf{B} \mathbf{A}$). This method reduces
Externí odkaz:
http://arxiv.org/abs/2407.19342
Multimodal Large Language Models (MLLMs) have seen growing adoption across various scientific disciplines. These advancements encourage the investigation of molecule-text modeling within synthetic chemistry, a field dedicated to designing and conduct
Externí odkaz:
http://arxiv.org/abs/2406.13193
Molecular representation learning has shown great success in advancing AI-based drug discovery. The core of many recent works is based on the fact that the 3D geometric structure of molecules provides essential information about their physical and ch
Externí odkaz:
http://arxiv.org/abs/2405.05665
Low-rank adaptation~(LoRA) has recently gained much interest in fine-tuning foundation models. It effectively reduces the number of trainable parameters by incorporating low-rank matrices $A$ and $B$ to represent the weight change, i.e., $\Delta W=BA
Externí odkaz:
http://arxiv.org/abs/2405.03003
Autor:
Lu, Xingyu, Cao, He, Liu, Zijing, Bai, Shengyuan, Chen, Leqing, Yao, Yuan, Zheng, Hai-Tao, Li, Yu
Large language models are playing an increasingly significant role in molecular research, yet existing models often generate erroneous information, posing challenges to accurate molecular comprehension. Traditional evaluation metrics for generated co
Externí odkaz:
http://arxiv.org/abs/2403.08192
Understanding the 3D structures of protein multimers is crucial, as they play a vital role in regulating various cellular processes. It has been empirically confirmed that the multimer structure prediction~(MSP) can be well handled in a step-wise ass
Externí odkaz:
http://arxiv.org/abs/2402.18813
In Bayesian optimization (BO) for expensive black-box optimization tasks, acquisition function (AF) guides sequential sampling and plays a pivotal role for efficient convergence to better optima. Prevailing AFs usually rely on artificial experiences
Externí odkaz:
http://arxiv.org/abs/2210.00476
Publikováno v:
In Journal of Hazardous Materials 5 October 2024 478
Publikováno v:
In Journal of Hydrology October 2024 642
Publikováno v:
In International Journal of Biological Macromolecules October 2024 277 Part 1