LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition

25 July 2023

Papers citing "LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition"

33 / 33 papers shown

Title
Optimizing Multi-Round Enhanced Training in Diffusion Models for Improved Preference Understanding Kun Li J. Wang Yangfan He Xinyuan Song Ruoyu Wang ... K. Li Sida Li Miao Zhang Tianyu Shi Xueqian Wang 40 0 0 25 Apr 2025
PIS: Linking Importance Sampling and Attention Mechanisms for Efficient Prompt Compression Lizhe Chen Binjia Zhou Yuyao Ge Jiayi Chen Shiguang NI 37 0 0 23 Apr 2025
Improving the Serving Performance of Multi-LoRA Large Language Models via Efficient LoRA and KV Cache Management Hang Zhang Jiuchen Shi Yixiao Wang Quan Chen Yizhou Shan Minyi Guo 25 0 0 19 Apr 2025
FedMerge: Federated Personalization via Model Merging Shutong Chen Tianyi Zhou Guodong Long Jing Jiang Chengqi Zhang FedML MoMe 43 0 0 09 Apr 2025
LED-Merging: Mitigating Safety-Utility Conflicts in Model Merging with Location-Election-Disjoint Qianli Ma Dongrui Liu Qian Chen Linfeng Zhang Jing Shao MoMe 54 0 0 24 Feb 2025
Make LoRA Great Again: Boosting LoRA with Adaptive Singular Values and Mixture-of-Experts Optimization Alignment Chenghao Fan Zhenyi Lu Sichen Liu Xiaoye Qu Wei Wei Chengfeng Gu Yu-Xi Cheng MoE 45 0 0 24 Feb 2025
Parameter Efficient Merging for Multimodal Large Language Models with Complementary Parameter Adaptation Fanhu Zeng Haiyang Guo Fei Zhu Li Shen Hao Tang MoMe 47 1 0 24 Feb 2025
Model Diffusion for Certifiable Few-shot Transfer Learning Fady Rezk Royson Lee H. Gouk Timothy M. Hospedales Minyoung Kim 45 0 0 10 Feb 2025
Skill Expansion and Composition in Parameter Space Tenglong Liu J. Li Yinan Zheng Haoyi Niu Yixing Lan Xin Xu Xianyuan Zhan 51 4 0 09 Feb 2025
Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learning Hanwen Zhong Jiaxin Chen Yutong Zhang Di Huang Yunhong Wang MoE 37 0 0 12 Jan 2025
IterIS: Iterative Inference-Solving Alignment for LoRA Merging Hongxu Chen Runshi Li Bowei Zhu Zhen Wang Long Chen MoMe 89 0 0 21 Nov 2024
MoCE: Adaptive Mixture of Contextualization Experts for Byte-based Neural Machine Translation Langlin Huang Mengyu Bu Yang Feng 21 0 0 03 Nov 2024
Parameter-Efficient Fine-Tuning in Large Models: A Survey of Methodologies L. Wang Sheng Chen Linnan Jiang Shu Pan Runze Cai Sen Yang Fei Yang 44 3 0 24 Oct 2024
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
MTL-LoRA: Low-Rank Adaptation for Multi-Task Learning Yaming Yang Dilxat Muhtar Yelong Shen Yuefeng Zhan Jianfeng Liu ... Denvy Deng Feng Sun Qi Zhang Weizhu Chen Yunhai Tong MoE MoMe 38 2 0 12 Oct 2024
Mitigating Training Imbalance in LLM Fine-Tuning via Selective Parameter Merging Yiming Ju Ziyi Ni Xingrun Xing Zhixiong Zeng hanyu Zhao Siqi Fan Zheng Zhang MoMe 24 2 0 01 Oct 2024
Pareto Low-Rank Adapters: Efficient Multi-Task Learning with Preferences Nikolaos Dimitriadis Pascal Frossard F. Fleuret MoE 54 5 0 10 Jul 2024
ShareLoRA: Parameter Efficient and Robust Large Language Model Fine-tuning via Shared Low-Rank Adaptation Yurun Song Junchen Zhao Ian G. Harris S. Jyothi 27 3 0 16 Jun 2024
Crayon: Customized On-Device LLM via Instant Adapter Blending and Edge-Server Hybrid Inference Jihwan Bang Juntae Lee Kyuhong Shim Seunghan Yang Simyung Chang 18 5 0 11 Jun 2024
Low-Rank Adaption on Transformer-based Oriented Object Detector for Satellite Onboard Processing of Remote Sensing Images Xinyang Pu Feng Xu 29 3 0 04 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 27 30 0 18 May 2024
LLaVA-MoLE: Sparse Mixture of LoRA Experts for Mitigating Data Conflicts in Instruction Finetuning MLLMs Shaoxiang Chen Zequn Jie Lin Ma MoE 38 46 0 29 Jan 2024
Knowledge Fusion of Large Language Models Fanqi Wan Xinting Huang Deng Cai Xiaojun Quan Wei Bi Shuming Shi MoMe 22 61 0 19 Jan 2024
Language and Task Arithmetic with Parameter-Efficient Layers for Zero-Shot Summarization Alexandra Chronopoulou Jonas Pfeiffer Joshua Maynez Xinyi Wang Sebastian Ruder Priyanka Agrawal MoMe 19 14 0 15 Nov 2023
LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression Huiqiang Jiang Qianhui Wu Xufang Luo Dongsheng Li Chin-Yew Lin Yuqing Yang Lili Qiu RALM 96 179 0 10 Oct 2023
Separate the Wheat from the Chaff: Model Deficiency Unlearning via Parameter-Efficient Module Operation Xinshuo Hu Dongfang Li Baotian Hu Zihao Zheng Zhenyu Liu M. Zhang KELM MU 21 26 0 16 Aug 2023
$π$ -Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolation Chengyue Wu Teng Wang Yixiao Ge Zeyu Lu Rui-Zhi Zhou Ying Shan Ping Luo MoMe 68 35 0 27 Apr 2023
Git Re-Basin: Merging Models modulo Permutation Symmetries Samuel K. Ainsworth J. Hayase S. Srinivasa MoMe 239 313 0 11 Sep 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 301 11,730 0 04 Mar 2022
PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts Stephen H. Bach Victor Sanh Zheng-Xin Yong Albert Webson Colin Raffel ... Khalid Almubarak Xiangru Tang Dragomir R. Radev Mike Tian-Jian Jiang Alexander M. Rush VLM 212 335 0 02 Feb 2022
Multitask Prompted Training Enables Zero-Shot Task Generalization Victor Sanh Albert Webson Colin Raffel Stephen H. Bach Lintang Sutawika ... T. Bers Stella Biderman Leo Gao Thomas Wolf Alexander M. Rush LRM 203 1,651 0 15 Oct 2021
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP Qinyuan Ye Bill Yuchen Lin Xiang Ren 209 167 0 18 Apr 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 278 3,784 0 18 Apr 2021