Cover Image

RouterDC: Query-Based Router by Dual Contrastive Learning for Assembling Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Shuhao, Jiang, Weisen, Lin, Baijiong, Kwok, James T., Zhang, Yu
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

VL-RouterBench: A Benchmark for Vision-Language Model Routing
by: Huang, Zhehao, et al.
Published: (2025)

Effective Structured Prompting by Meta-Learning and Representative Verbalizer
by: Jiang, Weisen, et al.
Published: (2023)

OrcaRouter: A Production-Oriented LLM Router with Hybrid Offline-Online Learning
by: Bao, Zhenghua, et al.
Published: (2026)

Forward-Backward Reasoning in Large Language Models for Mathematical Verification
by: Jiang, Weisen, et al.
Published: (2023)

Dual-Balancing for Multi-Task Learning
by: Lin, Baijiong, et al.
Published: (2023)

Mixture of Routers
by: Zhang, Jia-Chen, et al.
Published: (2025)

MoE-Pruner: Pruning Mixture-of-Experts Large Language Model using the Hints from Its Router
by: Xie, Yanyue, et al.
Published: (2024)

Route-and-Reason: Scaling Large Language Model Reasoning with Reinforced Model Router
by: Shao, Chenyang, et al.
Published: (2025)

MetaMoE: Diversity-Aware Proxy Selection for Privacy-Preserving Mixture-of-Experts Unification
by: Jiang, Weisen, et al.
Published: (2026)

Stabilizing MoE Reinforcement Learning by Aligning Training and Inference Routers
by: Ma, Wenhan, et al.
Published: (2025)

Exploring Domain Robust Lightweight Reward Models based on Router Mechanism
by: Namgoong, Hyuk, et al.
Published: (2024)

PARM: Multi-Objective Test-Time Alignment via Preference-Aware Autoregressive Reward Model
by: Lin, Baijiong, et al.
Published: (2025)

Turn Waste into Worth: Rectifying Top-$k$ Router of MoE
by: Zeng, Zhiyuan, et al.
Published: (2024)

xRouter: Training Cost-Aware LLMs Orchestration System via Reinforcement Learning
by: Qian, Cheng, et al.
Published: (2025)

ThinkRouter: Efficient Reasoning via Routing Thinking between Latent and Discrete Spaces
by: Xu, Xin, et al.
Published: (2026)

Toward Super Agent System with Hybrid AI Routers
by: Yao, Yuhang, et al.
Published: (2025)

RadialRouter: Structured Representation for Efficient and Robust Large Language Models Routing
by: Jin, Ruihan, et al.
Published: (2025)

Efficient Reasoning for Large Reasoning Language Models via Certainty-Guided Reflection Suppression
by: Huang, Jiameng, et al.
Published: (2025)

BYOM: Building Your Own Multi-Task Model For Free
by: Jiang, Weisen, et al.
Published: (2023)

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

ICL-Router: In-Context Learned Model Representations for LLM Routing
by: Wang, Chenxu, et al.
Published: (2025)

RxEval: A Prescription-Level Benchmark for Evaluating LLM Medication Recommendation
by: Chen, Shuhao, et al.
Published: (2026)

When to Reason: Semantic Router for vLLM
by: Wang, Chen, et al.
Published: (2025)

TensorOpera Router: A Multi-Model Router for Efficient LLM Inference
by: Stripelis, Dimitris, et al.
Published: (2024)

ProxRouter: Proximity-Weighted LLM Query Routing for Improved Robustness to Outliers
by: Patel, Shivam, et al.
Published: (2025)

Route to Rome Attack: Directing LLM Routers to Expensive Models via Adversarial Suffix Optimization
by: Tang, Haochun, et al.
Published: (2026)

MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models
by: Yu, Longhui, et al.
Published: (2023)

RouterEval: A Comprehensive Benchmark for Routing LLMs to Explore Model-level Scaling Up in LLMs
by: Huang, Zhongzhan, et al.
Published: (2025)

MemRouter: Memory-as-Embedding Routing for Long-Term Conversational Agents
by: Hu, Tianyu, et al.
Published: (2026)

SinkRouter: Sink-Aware Routing for Efficient Long-Context Decoding in Large Language and Multimodal Models
by: Liu, Junnan, et al.
Published: (2026)

Towards Fair and Comprehensive Evaluation of Routers in Collaborative LLM Systems
by: Wu, Wanxing, et al.
Published: (2026)

Yuan 2.0-M32: Mixture of Experts with Attention Router
by: Wu, Shaohua, et al.
Published: (2024)

Performance Characterization of Expert Router for Scalable LLM Inference
by: Pichlmeier, Josef, et al.
Published: (2024)

Omni-Router: Sharing Routing Decisions in Sparse Mixture-of-Experts for Speech Recognition
by: Gu, Zijin, et al.
Published: (2025)

Outcome-Aware Tool Selection for Semantic Routers: Latency-Constrained Learning Without LLM Inference
by: Chen, Huamin, et al.
Published: (2026)

VideoRouter: Query-Adaptive Dual Routing for Efficient Long-Video Understanding
by: Lin, Kuanwei, et al.
Published: (2026)

Olympus: A Universal Task Router for Computer Vision Tasks
by: Lin, Yuanze, et al.
Published: (2024)

TCAndon-Router: Adaptive Reasoning Router for Multi-Agent Collaboration
by: Zhao, Jiuzhou, et al.
Published: (2026)

RouterBench: A Benchmark for Multi-LLM Routing System
by: Hu, Qitian Jason, et al.
Published: (2024)

SPARD: Defending Harmful Fine-Tuning Attack via Safety Projection with Relevance-Diversity Data Selection
by: Chen, Shuhao, et al.
Published: (2026)