Summary of When Scaling Meets Llm Finetuning: the Effect Of Data, Model and Finetuning Method, by Biao Zhang et al.
When Scaling Meets LLM Finetuning: The Effect of Data, Model and Finetuning Methodby Biao Zhang,…
When Scaling Meets LLM Finetuning: The Effect of Data, Model and Finetuning Methodby Biao Zhang,…
Inpainting Computational Fluid Dynamics with Deep Learningby Dule Shu, Wilson Zhen, Zijie Li, Amir Barati…
Measuring Vision-Language STEM Skills of Neural Modelsby Jianhao Shen, Ye Yuan, Srbuhi Mirzoyan, Ming Zhang,…
Trustworthy Personalized Bayesian Federated Learning via Posterior Fine-Tuneby Mengen Luo, Chi Xu, Ercan Engin KuruogluFirst…
PDETime: Rethinking Long-Term Multivariate Time Series Forecasting from the perspective of partial differential equationsby Shiyi…
m2mKD: Module-to-Module Knowledge Distillation for Modular Transformersby Ka Man Lo, Yiming Liang, Wenyu Du, Yuantao…
More Than Routing: Joint GPS and Route Modeling for Refine Trajectory Representation Learningby Zhipeng Ma,…
Personalized Federated Instruction Tuning via Neural Architecture Searchby Pengyu Zhang, Yingbo Zhou, Ming Hu, Junxian…
Minimize Control Inputs for Strong Structural Controllability Using Reinforcement Learning with Graph Neural Networkby Mengbang…
Incremental Concept Formation over Visual Images Without Catastrophic Forgettingby Nicki Barari, Xin Lian, Christopher J.…