Summary of Lora Meets Dropout Under a Unified Framework, by Sheng Wang et al.
LoRA Meets Dropout under a Unified Frameworkby Sheng Wang, Liheng Chen, Jiyue Jiang, Boyang Xue,…
LoRA Meets Dropout under a Unified Frameworkby Sheng Wang, Liheng Chen, Jiyue Jiang, Boyang Xue,…
MedAide: Leveraging Large Language Models for On-Premise Medical Assistance on Edge Devicesby Abdul Basit, Khizar…
Inducing Generalization across Languages and Tasks using Featurized Low-Rank Mixturesby Chu-Cheng Lin, Xinyi Wang, Jonathan…
ResLoRA: Identity Residual Mapping in Low-Rank Adaptionby Shuhua Shi, Shaohan Huang, Minghui Song, Zhoujun Li,…
Federated Fine-tuning of Large Language Models under Heterogeneous Tasks and Client Resourcesby Jiamu Bai, Daoyuan…
GNNavi: Navigating the Information Flow in Large Language Models by Graph Neural Networkby Shuzhou Yuan,…
ICDPO: Effectively Borrowing Alignment Capability of Others via In-context Direct Preference Optimizationby Feifan Song, Yuxuan…
Higher Layers Need More LoRA Expertsby Chongyang Gao, Kezhen Chen, Jinmeng Rao, Baochen Sun, Ruibo…
Fine-tuning Large Language Models for Multigenerator, Multidomain, and Multilingual Machine-Generated Text Detectionby Feng Xiong, Thanet…
PRILoRA: Pruned and Rank-Increasing Low-Rank Adaptationby Nadav Benedek, Lior WolfFirst submitted to arxiv on: 20…