PulseAugur
EN
LIVE 08:31:54
ENTITY MoE-LoRA

MoE-LoRA

PulseAugur coverage of MoE-LoRA — every cluster mentioning MoE-LoRA across labs, papers, and developer communities, ranked by signal.

Show in brief
Total · 30d
0
2 over 90d
Releases · 30d
0
0 over 90d
Papers · 30d
0
2 over 90d
TIER MIX · 90D
TOPICS
RECENT · PAGE 1/1 · 2 TOTAL
  1. RESEARCH · CL_171849 ·

    FedWeave framework enhances federated LLM learning with prototype specialization

    Researchers have introduced FedWeave, a novel framework designed to improve federated learning for large language models (LLMs) by addressing task heterogeneity across clients. Unlike previous methods that specialize at…

  2. RESEARCH · CL_51296 ·

    RotMoLE framework enhances LLM low-rank experts with rotational gating

    Researchers have introduced RotMoLE, a novel Mixture-of-Experts (MoE) framework designed to enhance the capabilities of low-rank experts in Large Language Models (LLMs). This framework builds upon MoE-LoRA by incorporat…