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  1. Home
  2. Signal Canvas
  3. Routing-Free Mixture-of-Experts
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Routing-Free Mixture-of-Experts

Fresh1d ago
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Viability
0.0/10

Compared to this week’s papers

Evidence Receipt

Freshness: 2026-04-02T20:55:26.127045+00:00

Claims: 0

References: 0

Proof: pending

Distribution: unknown

Source paper: Routing-Free Mixture-of-Experts

PDF: https://arxiv.org/pdf/2604.00801v1

Repository: https://github.com/liuyilun2000/RoutingFreeMoE/tree/release

First buyer signal: unknown

Distribution channel: unknown

Last proof check: 2026-04-03T20:30:38.387146+00:00

Starting…

Dimensions overall score 7.0

GitHub Code Pulse

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Health
D
Last commit
12/5/2025
Forks
0
Open repository

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Builds On This
DynaMoE: Dynamic Token-Level Expert Activation with Layer-Wise Adaptive Capacity for Mixture-of-Experts Neural Networks
Score 6.0down
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Self-Routing: Parameter-Free Expert Routing from Hidden States
Score 3.0down
Builds On This
L2R: Low-Rank and Lipschitz-Controlled Routing for Mixture-of-Experts
Score 5.0down
Builds On This
MoE-Sieve: Routing-Guided LoRA for Efficient MoE Fine-Tuning
Score 4.0down
Builds On This
Expert Threshold Routing for Autoregressive Language Modeling with Dynamic Computation Allocation and Load Balancing
Score 3.0down
Prior Work
Path-Constrained Mixture-of-Experts
Score 7.0stable
Prior Work
Bridging Local and Global Knowledge: Cascaded Mixture-of-Experts Learning for Near-Shortest Path Routing
Score 7.0stable
Prior Work
MoE Lens -- An Expert Is All You Need
Score 7.0stable

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