Cover Image

Adaptive Multi-Expert Reasoning via Difficulty-Aware Routing and Uncertainty-Guided Aggregation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ehab, Mohamed, Hamdi, Ali
Format:	Preprint
Published:	2026
Subjects:	Computation and Language Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

CAMO: A Class-Aware Minority-Optimized Ensemble for Robust Language Model Evaluation on Imbalanced Data
by: Ehab, Mohamed, et al.
Published: (2026)

Uncertainty-Guided Attention and Entropy-Weighted Loss for Precise Plant Seedling Segmentation
by: Ehab, Mohamed, et al.
Published: (2026)

Skill-Based Mixture-of-Experts: Adaptive Routing for Heterogeneous Reasoning via Inferred Skills
by: Chen, Justin Chih-Yao, et al.
Published: (2025)

Confidence-Credibility Aware Weighted Ensembles of Small LLMs Outperform Large LLMs in Emotion Detection
by: Elgabry, Menna, et al.
Published: (2025)

An Ensemble Classification Approach in A Multi-Layered Large Language Model Framework for Disease Prediction
by: Hamdi, Ali, et al.
Published: (2025)

MoxE: Mixture of xLSTM Experts with Entropy-Aware Routing for Efficient Language Modeling
by: Thiombiano, Abdoul Majid O., et al.
Published: (2025)

Expert-Choice Routing Enables Adaptive Computation in Diffusion Language Models
by: Zhang, Shuibai, et al.
Published: (2026)

Uncertainty-Aware Answer Selection for Improved Reasoning in Multi-LLM Systems
by: Agrawal, Aakriti, et al.
Published: (2025)

CMHL: Contrastive Multi-Head Learning for Emotionally Consistent Text Classification
by: Elgabry, Menna, et al.
Published: (2026)

Maximum Score Routing For Mixture-of-Experts
by: Dong, Bowen, et al.
Published: (2025)

GanitLLM: Difficulty-Aware Bengali Mathematical Reasoning through Curriculum-GRPO
by: Dipta, Shubhashis Roy, et al.
Published: (2026)

CartesianMoE: Boosting Knowledge Sharing among Experts via Cartesian Product Routing in Mixture-of-Experts
by: Su, Zhenpeng, et al.
Published: (2024)

FERA: Uncertainty-Aware Federated Reasoning for Large Language Models
by: Wang, Ruhan, et al.
Published: (2026)

DISCO Balances the Scales: Adaptive Domain- and Difficulty-Aware Reinforcement Learning on Imbalanced Data
by: Zhou, Yuhang, et al.
Published: (2025)

When Are Experts Misrouted? Counterfactual Routing Analysis in Mixture-of-Experts Language Models
by: Yoon, Youngsik, et al.
Published: (2026)

Router-R1: Teaching LLMs Multi-Round Routing and Aggregation via Reinforcement Learning
by: Zhang, Haozhen, et al.
Published: (2025)

Geometry-Preserving Aggregation for Mixture-of-Experts Embedding Models
by: Kachuee, Sajjad, et al.
Published: (2026)

Routing-Free Mixture-of-Experts
by: Liu, Yilun, et al.
Published: (2026)

Multilingual Routing in Mixture-of-Experts
by: Bandarkar, Lucas, et al.
Published: (2025)

Mixture of Sparse Attention: Content-Based Learnable Sparse Attention via Expert-Choice Routing
by: Piękos, Piotr, et al.
Published: (2025)

Accurate and Diverse LLM Mathematical Reasoning via Automated PRM-Guided GFlowNets
by: Younsi, Adam, et al.
Published: (2025)

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

Dual-Uncertainty Guided Policy Learning for Multimodal Reasoning
by: Liu, Rui, et al.
Published: (2025)

Reliability-Aware Adaptive Self-Consistency for Efficient Sampling in LLM Reasoning
by: Kim, Junseok, et al.
Published: (2026)

TRIM: Hybrid Inference via Targeted Stepwise Routing in Multi-Step Reasoning Tasks
by: Kapoor, Vansh, et al.
Published: (2026)

UCCI: Calibrated Uncertainty for Cost-Optimal LLM Cascade Routing
by: Kotte, Varun
Published: (2026)

Adaptive Test-Time Reasoning via Reward-Guided Dual-Phase Search
by: Cui, Yingqian, et al.
Published: (2025)

Adaptive Contrastive Search: Uncertainty-Guided Decoding for Open-Ended Text Generation
by: Arias, Esteban Garces, et al.
Published: (2024)

HeaPA: Difficulty-Aware Heap Sampling and On-Policy Query Augmentation for LLM Reinforcement Learning
by: Wang, Weiqi, et al.
Published: (2026)

Reasoning Is Not Free: Robust Adaptive Cost-Efficient Routing for LLM-as-a-Judge
by: Zhang, Wenbo, et al.
Published: (2026)

ABench-Physics: Benchmarking Physical Reasoning in LLMs via High-Difficulty and Dynamic Physics Problems
by: Zhang, Yiming, et al.
Published: (2025)

Latent Prototype Routing: Achieving Near-Perfect Load Balancing in Mixture-of-Experts
by: Yang, Jiajie
Published: (2025)

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

PEMT: Multi-Task Correlation Guided Mixture-of-Experts Enables Parameter-Efficient Transfer Learning
by: Lin, Zhisheng, et al.
Published: (2024)

Critique-Guided Distillation for Robust Reasoning via Refinement
by: Kapusuzoglu, Berkcan, et al.
Published: (2025)

MoEMoE: Question Guided Dense and Scalable Sparse Mixture-of-Expert for Multi-source Multi-modal Answering
by: Verma, Vinay Kumar, et al.
Published: (2025)

Balancing the Reasoning Load: Difficulty-Differentiated Policy Optimization with Length Redistribution for Efficient and Robust Reinforcement Learning
by: Xia, Yinan, et al.
Published: (2026)

Fleming-R1: Toward Expert-Level Medical Reasoning via Reinforcement Learning
by: Liu, Chi, et al.
Published: (2025)

Attractor Patch Networks: Reducing Catastrophic Forgetting with Routed Low-Rank Patch Experts
by: Shashank
Published: (2026)

HS-STaR: Hierarchical Sampling for Self-Taught Reasoners via Difficulty Estimation and Budget Reallocation
by: Xiong, Feng, et al.
Published: (2025)