L2R: Low-Rank and Lipschitz-Controlled Routing for Mixture-of-Experts
cs.LG, cs.AI
Submitted: 2026-01-29
Updated: 2026-09-17
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions
- Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge
- DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models
- Toy Models of Superposition
- Mixtral of Experts
- GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding
- Router Upcycling: Leveraging Mixture-of-Routers in Mixture-of-Experts Upcycling
- Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer
- Crowdsourcing Multiple Choice Science Questions
- Yuan 2.0-M32: Mixture of Experts with Attention Router
- Qwen2 Technical Report
- Adaptive Shared Experts with LoRA-Based Mixture of Experts for Multi-Task Learning
- HellaSwag: Can a Machine Really Finish Your Sentence?
- ST-MoE: Designing Stable and Transferable Sparse Expert Models
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