ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2506.14435
  4. Cited By
MoTE: Mixture of Ternary Experts for Memory-efficient Large Multimodal Models

MoTE: Mixture of Ternary Experts for Memory-efficient Large Multimodal Models

17 June 2025
Hongyu Wang
Jiayu Xu
Ruiping Wang
Yan Feng
Yitao Zhai
Peng Pei
Xunliang Cai
Xilin Chen
    MoE
ArXiv (abs)PDFHTML

Papers citing "MoTE: Mixture of Ternary Experts for Memory-efficient Large Multimodal Models"

Title
No papers