Research map / Architectures and efficiency / Mixture of experts
EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Closest papers by meaning
- From Experts to Sub-experts: Fine-grained Parameter-Efficient Fine-Tuning for MoE LLMs (NeurIPS 2026 · similarity 0.91)
- Advancing Expert Specialization for Better MoE (NeurIPS 2025 · similarity 0.91)
- Routing Experts: Learning to Route Dynamic Experts in Existing Multi-modal Large Language Models (ICLR 2025 · similarity 0.91)
- Layerwise Recurrent Router for Mixture-of-Experts (ICLR 2025 · similarity 0.90)
- LightMoE: Reducing Mixture-of-Experts Redundancy through Expert Replacing (NeurIPS 2026 · similarity 0.90)
- FourierMoE: Fourier Mixture-of-Experts Adaptation of Large Language Models (NeurIPS 2026 · similarity 0.89)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.
