Is F-SOUR superseded?

F-SOUR (Mixture-of-experts routing): current frontier — recent, not yet superseded in the knowledge base. 0 paper(s) critique it, 0 beat it on benchmarks — not ranked as a superseded baseline. Sub-problem: cluster led by SteerMoE. Newer alternatives in the same sub-problem include PADD, MESA, PR2, RouteHijack, MASCing.

Method Drift›Mixture-of-experts routing

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F-SOUR

Sparse Models, Sparse Safety: Unsafe Routes in Mixture-of-Experts LLMs

Mixture-of-experts routing · first seen Feb 9, 2026

current frontier — recent, not yet superseded in the knowledge base

0 papers critique it · 0 beat it on benchmarks

Newer alternatives

Recent methods in the same sub-problem, not yet superseded in the knowledge base.

PADD PADD: Path-Aligned Decompression Distillation for Non-Router Teacher to Guide MoE Student Learning
Jun 9, 2026
MESA MESA: Improving MoE Safety Alignment via Decentralized Expertise
May 30, 2026
PR2 PR2: Predictive Routing Replay for MoE-Based LLM Reinforcement Learning
May 29, 2026
RouteHijack RouteHijack: Routing-Aware Attack on Mixture-of-Experts LLMs
May 1, 2026
MASCing MASCing: Configurable Mixture-of-Experts Behavior via Activation Steering Masks
Apr 30, 2026
F-SOUR Sparse Models, Sparse Safety: Unsafe Routes in Mixture-of-Experts LLMs
Feb 9, 2026
SocialNav-MoE SocialNav-MoE: A Mixture-of-Experts Vision Language Model for Socially Compliant Navigation with Reinforcement Fine-Tuning
Dec 15, 2025
OrdMoE OrdMoE: Preference Alignment via Hierarchical Expert Group Ranking in Multimodal Mixture-of-Experts LLMs
Nov 24, 2025
router-aware approach to optimize importance sampling weights Towards Stable and Effective Reinforcement Learning for Mixture-of-Experts
Oct 27, 2025
Mix- and MoE-DPO Mix- and MoE-DPO: A Variational Inference Approach to Direct Preference Optimization
Oct 9, 2025