Mixture of LoRA Experts

Mixture of LoRA Experts

21 April 2024

Papers citing "Mixture of LoRA Experts"

15 / 15 papers shown

Title
NoEsis: Differentially Private Knowledge Transfer in Modular LLM Adaptation Rob Romijnders Stefanos Laskaridis Ali Shahin Shamsabadi Hamed Haddadi 54 0 0 25 Apr 2025
Communication-Efficient and Personalized Federated Foundation Model Fine-Tuning via Tri-Matrix Adaptation Y. Li Bo Liu Sheng Huang Z. Zhang Xiaotong Yuan Richang Hong 41 0 0 31 Mar 2025
CAMEx: Curvature-aware Merging of Experts Dung V. Nguyen Minh H. Nguyen Luc Q. Nguyen R. Teo T. Nguyen Linh Duy Tran MoMe 73 2 0 26 Feb 2025
Rank Also Matters: Hierarchical Configuration for Mixture of Adapter Experts in LLM Fine-Tuning Peizhuang Cong Wenpu Liu Wenhan Yu Haochen Zhao Tong Yang ALM MoE 74 0 0 06 Feb 2025
Task Arithmetic in Trust Region: A Training-Free Model Merging Approach to Navigate Knowledge Conflicts Wenju Sun Qingyong Li Wen Wang Yangli-ao Geng Boyang Li 36 2 0 28 Jan 2025
Closed-form merging of parameter-efficient modules for Federated Continual Learning Riccardo Salami Pietro Buzzega Matteo Mosconi Jacopo Bonato Luigi Sabetta Simone Calderara FedML MoMe CLL 29 2 0 23 Oct 2024
Scalable Multi-Domain Adaptation of Language Models using Modular Experts Peter Schafhalter Shun Liao Yanqi Zhou Chih-Kuan Yeh Arun Kandoor James Laudon MoE 24 1 0 14 Oct 2024
Functional-level Uncertainty Quantification for Calibrated Fine-tuning on LLMs Ruijia Niu D. Wu Rose Yu Yi-An Ma 18 1 0 09 Oct 2024
DLP-LoRA: Efficient Task-Specific LoRA Fusion with a Dynamic, Lightweight Plugin for Large Language Models Yuxuan Zhang Ruizhe Li MoMe 43 0 0 02 Oct 2024
HDMoLE: Mixture of LoRA Experts with Hierarchical Routing and Dynamic Thresholds for Fine-Tuning LLM-based ASR Models Bingshen Mu Kun Wei Qijie Shao Yong Xu Lei Xie MoE 34 1 0 30 Sep 2024
On-Device Collaborative Language Modeling via a Mixture of Generalists and Specialists Dongyang Fan Bettina Messmer N. Doikov Martin Jaggi MoMe MoE 42 1 0 20 Sep 2024
MoWE-Audio: Multitask AudioLLMs with Mixture of Weak Encoders W. Zhang Shuo Sun Bin Wang Xunlong Zou Zhuohan Liu Yingxu He Geyu Lin Nancy F. Chen A. Aw AuLLM 65 1 0 10 Sep 2024
Solving Token Gradient Conflict in Mixture-of-Experts for Large Vision-Language Model Longrong Yang Dong Shen Chaoxiang Cai Fan Yang Size Li Di Zhang Xi Li MoE 41 2 0 28 Jun 2024
Towards Modular LLMs by Building and Reusing a Library of LoRAs O. Ostapenko Zhan Su E. Ponti Laurent Charlin Nicolas Le Roux Matheus Pereira Lucas Page-Caccia Alessandro Sordoni MoMe 32 30 0 18 May 2024
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 278 3,784 0 18 Apr 2021