arXiv (All)
open access
Beyond Magnitude: Contrastive Routing for Modular Mixture-of-Experts
In current Mixture-of-Experts architectures, routing is performed based on representations dominated by structure shared across all tokens, limiting expert specialization. We show that contrasting each token against an Exponential Moving Average of the layer's hidden states, rather than routing on a
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Communication-Aware Placement and Pruning for Efficient Mixture-of-Experts Inference#343423
- Prediction-powered Inference by Mixture of Experts#146949
- Beyond Geometric Complementarity: Coherent Overlap in Sparse Mixture-of-Experts Routing#414116
- Tying the Loop -- Tied Expert Layers in Mixture-of-Experts Language Models#280221
- A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications#130758
Record · ID 821076
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive