Summary of Parameter-efficient Fine-tuning For Pre-trained Vision Models: a Survey, by Yi Xin et al.
Parameter-Efficient Fine-Tuning for Pre-Trained Vision Models: A Surveyby Yi Xin, Siqi Luo, Haodi Zhou, Junlong…
Summary of Selecting Large Language Model to Fine-tune Via Rectified Scaling Law, by Haowei Lin et al.
Selecting Large Language Model to Fine-tune via Rectified Scaling Lawby Haowei Lin, Baizhou Huang, Haotian…
Summary of Improving Diffusion Models For Inverse Problems Using Optimal Posterior Covariance, by Xinyu Peng et al.
Improving Diffusion Models for Inverse Problems Using Optimal Posterior Covarianceby Xinyu Peng, Ziyang Zheng, Wenrui…
Summary of Safety Fine-tuning at (almost) No Cost: a Baseline For Vision Large Language Models, by Yongshuo Zong et al.
Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Modelsby Yongshuo Zong,…
Summary of Transfer Learning in Ecg Diagnosis: Is It Effective?, by Cuong V. Nguyen and Cuong D.do
Transfer Learning in ECG Diagnosis: Is It Effective?by Cuong V. Nguyen, Cuong D.DoFirst submitted to…
Summary of The Rl/llm Taxonomy Tree: Reviewing Synergies Between Reinforcement Learning and Large Language Models, by Moschoula Pternea et al.
The RL/LLM Taxonomy Tree: Reviewing Synergies Between Reinforcement Learning and Large Language Modelsby Moschoula Pternea,…
Summary of From Peft to Deft: Parameter Efficient Finetuning For Reducing Activation Density in Transformers, by Bharat Runwal et al.
From PEFT to DEFT: Parameter Efficient Finetuning for Reducing Activation Density in Transformersby Bharat Runwal,…
Summary of Stochastic Two Points Method For Deep Model Zeroth-order Optimization, by Yijiang Pang et al.
Stochastic Two Points Method for Deep Model Zeroth-order Optimizationby Yijiang Pang, Jiayu ZhouFirst submitted to…
Summary of A Framework to Implement 1+n Multi-task Fine-tuning Pattern in Llms Using the Cgc-lora Algorithm, by Chao Song and Zhihao Ye and Qiqiang Lin and Qiuying Peng and Jun Wang
A Framework to Implement 1+N Multi-task Fine-tuning Pattern in LLMs Using the CGC-LORA Algorithmby Chao…
Summary of L-tuning: Synchronized Label Tuning For Prompt and Prefix in Llms, by Md. Kowsher et al.
L-TUNING: Synchronized Label Tuning for Prompt and Prefix in LLMsby Md. Kowsher, Md. Shohanur Islam…