CoMoE: Contrastive Representation for Mixture-of-Experts in Parameter-Efficient Fine-tuning

23 May 2025

Papers citing "CoMoE: Contrastive Representation for Mixture-of-Experts in Parameter-Efficient Fine-tuning"

8 / 8 papers shown

Title
OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning Jinyuan Feng Zhiqiang Pu Tianyi Hu Dongmin Li Xiaolin Ai Huimu Wang MoE 41 4 0 20 Jan 2025
Scaling Large Language Model-based Multi-Agent Collaboration Chen Qian Zihao Xie YiFei Wang Wei Liu Yufan Dang ... Zhuoyun Du Weize Chen Cheng Yang Zhiyuan Liu Maosong Sun AI4CE LLMAG LM&Ro 129 60 0 11 Jun 2024
LoRAMoE: Alleviate World Knowledge Forgetting in Large Language Models via MoE-Style Plugin Shihan Dou Enyu Zhou Yan Liu Songyang Gao Jun Zhao ... Jiang Zhu Rui Zheng Tao Gui Qi Zhang Xuanjing Huang CLL MoE KELM 35 32 0 15 Dec 2023
Towards a Unified View of Parameter-Efficient Transfer Learning Junxian He Chunting Zhou Xuezhe Ma Taylor Berg-Kirkpatrick Graham Neubig AAML 81 918 0 08 Oct 2021
BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models Elad Ben-Zaken Shauli Ravfogel Yoav Goldberg 143 1,191 0 18 Jun 2021
LoRA: Low-Rank Adaptation of Large Language Models J. E. Hu Yelong Shen Phillip Wallis Zeyuan Allen-Zhu Yuanzhi Li Shean Wang Lu Wang Weizhu Chen OffRL AI4TS AI4CE ALM AIMat 235 10,099 0 17 Jun 2021
Prefix-Tuning: Optimizing Continuous Prompts for Generation Xiang Lisa Li Percy Liang 174 4,209 0 01 Jan 2021
BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions Christopher Clark Kenton Lee Ming-Wei Chang Tom Kwiatkowski Michael Collins Kristina Toutanova 177 1,475 0 24 May 2019