Find a story
Search Spins
Search titles, summaries, and missing voices across published articles — press releases, announcements, and media coverage.
2 results for “PEFT”
SPIN Processed News Frame: The Hype
MoE$^2$-LoRA: When MoE Models Meet MoE-style Low-Rank Adaptation
A new parameter-efficient fine-tuning method called MoE²-LoRA is introduced to improve adaptation of Mixture-of-Experts language models by dynamically routing low-rank adapters using pretrained router signals and sharing a global expert pool across layers.
Spin 45% Claim Present in Source AI Risk Moderate
arXiv Computation and Language
Jul 27, 2026
SPIN Processed News Frame: The Hype
FRAME: Learning the Adaptation Domain with a Mixture of Fractional-Fourier Experts
Researchers propose a new method for adapting neural networks to different tasks, called Fractional-Fourier Mixture of Experts.
Spin 50% Claim Present in Source AI Risk Moderate
arXiv Machine Learning
Published Jul 2, 2026 · Analyzed Jul 5, 2026