OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models

29 January 2024

Yang You

Papers citing "OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models"

22 / 72 papers shown

Title
A Closer Look into Mixture-of-Experts in Large Language Models Ka Man Lo Zeyu Huang Zihan Qiu Zili Wang Jie Fu MoE 35 10 0 26 Jun 2024
LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-training Tong Zhu Xiaoye Qu Daize Dong Jiacheng Ruan Jingqi Tong Conghui He Yu Cheng MoE ALM 54 71 0 24 Jun 2024
DEM: Distribution Edited Model for Training with Mixed Data Distributions Dhananjay Ram Aditya Rawal Momchil Hardalov Nikolaos Pappas Sheng Zha MoMe 41 1 0 21 Jun 2024
Evaluating the Adversarial Robustness of Retrieval-Based In-Context Learning for Large Language Models Simon Chi Lok Yu Jie He Pasquale Minervini Jeff Z. Pan 28 0 0 24 May 2024
Lory: Fully Differentiable Mixture-of-Experts for Autoregressive Language Model Pre-training Zexuan Zhong Mengzhou Xia Danqi Chen Mike Lewis MoE 57 15 0 06 May 2024
MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts Jianan Zhou Zhiguang Cao Yaoxin Wu Wen Song Yining Ma Jie Zhang Chi Xu 54 19 0 02 May 2024
XFT: Unlocking the Power of Code Instruction Tuning by Simply Merging Upcycled Mixture-of-Experts Yifeng Ding Jiawei Liu Yuxiang Wei Terry Yue Zhuo Lingming Zhang ALM MoE 42 3 0 23 Apr 2024
Advances and Open Challenges in Federated Learning with Foundation Models Chao Ren Han Yu Hongyi Peng Xiaoli Tang Anran Li ... A. Tan Bo Zhao Xiaoxiao Li Zengxiang Li Qiang Yang FedML AIFin AI4CE 78 7 0 23 Apr 2024
SEER-MoE: Sparse Expert Efficiency through Regularization for Mixture-of-Experts Alexandre Muzio Alex Sun Churan He MoE 51 12 0 07 Apr 2024
Shortcut-connected Expert Parallelism for Accelerating Mixture-of-Experts Weilin Cai Juyong Jiang Le Qin Junwei Cui Sunghun Kim Jiayi Huang 53 7 0 07 Apr 2024
Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM Sainbayar Sukhbaatar O. Yu. Golovneva Vasu Sharma Hu Xu Xi Lin ... Jacob Kahn Shang-Wen Li Wen-tau Yih Jason Weston Xian Li MoMe OffRL MoE 40 60 0 12 Mar 2024
Conditional computation in neural networks: principles and research trends Simone Scardapane Alessandro Baiocchi Alessio Devoto V. Marsocci Pasquale Minervini Jary Pomponi 34 1 0 12 Mar 2024
Learning to Decode Collaboratively with Multiple Language Models Zejiang Shen Hunter Lang Bailin Wang Yoon Kim David Sontag 51 29 0 06 Mar 2024
XMoE: Sparse Models with Fine-grained and Adaptive Expert Selection Yuanhang Yang Shiyi Qi Wenchao Gu Chaozheng Wang Cuiyun Gao Zenglin Xu MoE 19 8 0 27 Feb 2024
Towards an empirical understanding of MoE design choices Dongyang Fan Bettina Messmer Martin Jaggi 28 10 0 20 Feb 2024
HyperMoE: Towards Better Mixture of Experts via Transferring Among Experts Hao Zhao Zihan Qiu Huijia Wu Zili Wang Zhaofeng He Jie Fu MoE 30 9 0 20 Feb 2024
MoRAL: MoE Augmented LoRA for LLMs' Lifelong Learning Shu Yang Muhammad Asif Ali Cheng-Long Wang Lijie Hu Di Wang CLL MoE 37 38 0 17 Feb 2024
Model Compression and Efficient Inference for Large Language Models: A Survey Wenxiao Wang Wei Chen Yicong Luo Yongliu Long Zhengkai Lin Liye Zhang Binbin Lin Deng Cai Xiaofei He MQ 41 48 0 15 Feb 2024
Fiddler: CPU-GPU Orchestration for Fast Inference of Mixture-of-Experts Models Keisuke Kamahori Tian Tang Yile Gu Kan Zhu Baris Kasikci 71 20 0 10 Feb 2024
From Sparse to Soft Mixtures of Experts J. Puigcerver C. Riquelme Basil Mustafa N. Houlsby MoE 121 114 0 02 Aug 2023
Mixture-of-Experts with Expert Choice Routing Yan-Quan Zhou Tao Lei Han-Chu Liu Nan Du Yanping Huang Vincent Zhao Andrew M. Dai Zhifeng Chen Quoc V. Le James Laudon MoE 160 327 0 18 Feb 2022
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism M. Shoeybi M. Patwary Raul Puri P. LeGresley Jared Casper Bryan Catanzaro MoE 245 1,821 0 17 Sep 2019