:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Lee, Junhyeok, Choi, Kyu Sung
Format:	Preprint
Published:	2026
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2603.27141
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MedLayBench-V: A Large-Scale Benchmark for Expert-Lay Semantic Alignment in Medical Vision Language Models
by: Jang, Han, et al.
Published: (2026)

SciZoom: A Large-scale Benchmark for Hierarchical Scientific Summarization across the LLM Era
by: Jang, Han, et al.
Published: (2026)

MPIB: A Benchmark for Medical Prompt Injection Attacks and Clinical Safety in LLMs
by: Lee, Junhyeok, et al.
Published: (2026)

MoE-Sieve: Routing-Guided LoRA for Efficient MoE Fine-Tuning
by: Manzoni, Andrea
Published: (2026)

Polysemantic Experts, Monosemantic Paths: Routing as Control in MoEs
by: Ye, Charles, et al.
Published: (2026)

LLaDA-MoE: A Sparse MoE Diffusion Language Model
by: Zhu, Fengqi, et al.
Published: (2025)

Unveiling Language Routing Isolation in Multilingual MoE Models for Interpretable Subnetwork Adaptation
by: Zheng, Kening, et al.
Published: (2026)

MoE-LPR: Multilingual Extension of Large Language Models through Mixture-of-Experts with Language Priors Routing
by: Zhou, Hao, et al.
Published: (2024)

Ada-K Routing: Boosting the Efficiency of MoE-based LLMs
by: Yue, Tongtian, et al.
Published: (2024)

Harder Tasks Need More Experts: Dynamic Routing in MoE Models
by: Huang, Quzhe, et al.
Published: (2024)

CRAM: Centroid-Routing and Adaptive MoE for Multimodal Continual Instruction Tuning
by: Tang, Jun-Tao, et al.
Published: (2026)

Mix-MoE: Improving Multilingual Machine Translation of Large Language Models through Mixed MoEs
by: Li, Bo, et al.
Published: (2026)

Grove MoE: Towards Efficient and Superior MoE LLMs with Adjugate Experts
by: Wu, Haoyuan, et al.
Published: (2025)

ShardMemo: Masked MoE Routing for Sharded Agentic LLM Memory
by: Zhao, Yang, et al.
Published: (2026)

SMAR: Soft Modality-Aware Routing Strategy for MoE-based Multimodal Large Language Models Preserving Language Capabilities
by: Xia, Guoyang, et al.
Published: (2025)

Dynamic Language Group-Based MoE: Enhancing Code-Switching Speech Recognition with Hierarchical Routing
by: Huang, Hukai, et al.
Published: (2024)

Pangu Ultra MoE: How to Train Your Big MoE on Ascend NPUs
by: Tang, Yehui, et al.
Published: (2025)

EPS-MoE: Expert Pipeline Scheduler for Cost-Efficient MoE Inference
by: Qian, Yulei, et al.
Published: (2024)

Domain-Specialized Interactive Segmentation Framework for Meningioma Radiotherapy Planning
by: Lee, Junhyeok, et al.
Published: (2025)

LocMoE: A Low-Overhead MoE for Large Language Model Training
by: Li, Jing, et al.
Published: (2024)

THOR-MoE: Hierarchical Task-Guided and Context-Responsive Routing for Neural Machine Translation
by: Liang, Yunlong, et al.
Published: (2025)

Expert-Token Resonance MoE: Bidirectional Routing with Efficiency Affinity-Driven Active Selection
by: Li, Jing, et al.
Published: (2024)

Uni-MoE-2.0-Omni: Scaling Language-Centric Omnimodal Large Model with Advanced MoE, Training and Data
by: Li, Yunxin, et al.
Published: (2025)

BLR-MoE: Boosted Language-Routing Mixture of Experts for Domain-Robust Multilingual E2E ASR
by: Ma, Guodong, et al.
Published: (2025)

MoE-Prism: Disentangling Monolithic Experts for Elastic MoE Services via Model-System Co-Designs
by: Xia, Xinfeng, et al.
Published: (2025)

What Gets Activated: Uncovering Domain and Driver Experts in MoE Language Models
by: Hu, Guimin, et al.
Published: (2026)

STUN: Structured-Then-Unstructured Pruning for Scalable MoE Pruning
by: Lee, Jaeseong, et al.
Published: (2024)

Marco-MoE: Open Multilingual Mixture-of-Expert Language Models with Efficient Upcycling
by: Jiang, Fan, et al.
Published: (2026)

Skywork-MoE: A Deep Dive into Training Techniques for Mixture-of-Experts Language Models
by: Wei, Tianwen, et al.
Published: (2024)

Self-MoE: Towards Compositional Large Language Models with Self-Specialized Experts
by: Kang, Junmo, et al.
Published: (2024)

Faster MoE LLM Inference for Extremely Large Models
by: Yang, Haoqi, et al.
Published: (2025)

Training Report of TeleChat3-MoE
by: Liu, Xinzhang, et al.
Published: (2025)

MH-MoE: Multi-Head Mixture-of-Experts
by: Huang, Shaohan, et al.
Published: (2024)

GRIN: GRadient-INformed MoE
by: Liu, Liyuan, et al.
Published: (2024)

Sigma-MoE-Tiny Technical Report
by: Hu, Qingguo, et al.
Published: (2025)

State-of-the-Art Arabic Language Modeling with Sparse MoE Fine-Tuning and Chain-of-Thought Distillation
by: Singh, Navan Preet, et al.
Published: (2026)

TEAM: Temporal-Spatial Consistency Guided Expert Activation for MoE Diffusion Language Model Acceleration
by: Wei, Linye, et al.
Published: (2026)

MoE-nD: Per-Layer Mixture-of-Experts Routing for Multi-Axis KV Cache Compression
by: Sun, Libo, et al.
Published: (2026)

DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts
by: Feng, Yuchen, et al.
Published: (2025)

Med-MoE: Mixture of Domain-Specific Experts for Lightweight Medical Vision-Language Models
by: Jiang, Songtao, et al.
Published: (2024)