Is PARAMΔ Integration into Upcycled MoE superseded?

PARAMΔ Integration into Upcycled MoE (Mixture-of-experts routing): current frontier — recent, not yet superseded in the knowledge base. 0 paper(s) critique it, 0 beat it on benchmarks — not ranked as a superseded baseline.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 HydraLoRA. Newer alternatives in the same sub-problem include PARAMΔ Integration into Upcycled MoE, MEMIT-like framework for MoE, HELLoRA, SDG-MoE, Marco-MoE.

Mixture-of-experts routing

PARAMΔ Integration into Upcycled MoE

A Data-Efficient Path to Multilingual LLMs: Language Expansion via Post-training PARAM$Δ$ Integration into Upcycled MoE

On the frontierfirst seen May 18, 2026

Current frontier — recent, not yet superseded in the knowledge base

0 papers critique it · 0 beat it on benchmarks

What to use instead

Recent methods in the same sub-problem, not yet superseded in the knowledge base — arXiv benchmark leaders, not vetted production recommendations.

PARAMΔ Integration into Upcycled MoEA Data-Efficient Path to Multilingual LLMs: Language Expansion via Post-training PARAM$Δ$ Integration into Upcycled MoE
May 18, 2026
MEMIT-like framework for MoEScalable Knowledge Editing for Mixture-of-Experts LLMs via Tensor-Structured Updates
May 15, 2026
HELLoRAHELLoRA: Hot Experts Layer-Level Low-Rank Adaptation for Mixture-of-Experts Models
May 11, 2026
SDG-MoESDG-MoE: Signed Debate Graph Mixture-of-Experts
May 8, 2026
Marco-MoEMarco-MoE: Open Multilingual Mixture-of-Expert Language Models with Efficient Upcycling
Apr 28, 2026
CoGR-MoECoGR-MoE: Concept-Guided Expert Routing with Consistent Selection and Flexible Reasoning for Visual Question Answering
Apr 18, 2026
FourierMoEFourierMoE: Fourier Mixture-of-Experts Adaptation of Large Language Models
Apr 2, 2026
On Token's DilemmaOn Token's Dilemma: Dynamic MoE with Drift-Aware Token Assignment for Continual Learning of Large Vision Language Models
Mar 29, 2026
Mixture-of-Experts (MoE) and Mixture-of-Linear-Experts (MoLE) architectures for MLIPsScaling Machine Learning Interatomic Potentials with Mixtures of Experts
Mar 9, 2026
NeuronMoENeuronMoE: Neuron-Guided Mixture-of-Experts for Efficient Multilingual LLM Extension
Mar 5, 2026
SD-MoESD-MoE: Spectral Decomposition for Effective Expert Specialization
Feb 13, 2026
PASs-MoEPASs-MoE: Mitigating Misaligned Co-drift among Router and Experts via Pathway Activation Subspaces for Continual Learning
Jan 19, 2026