layer-wise scaling — 2 Technical Articles

Apr 7, 2026 · Artificial Intelligence

How LaSM Pulls GUI Agents’ Attention Back from Deceptive Pop‑up Attacks

The paper introduces LaSM (Layer‑wise Scaling Mechanism), a training‑free weight‑scaling patch that restores GUI agents’ focus by selectively amplifying attention and MLP weights in critical middle layers, effectively defending against pop‑up‑style environment injection attacks without retraining or altering model architecture.

GUI agentsLaSMattention analysis

0 likes · 14 min read

How LaSM Pulls GUI Agents’ Attention Back from Deceptive Pop‑up Attacks

NewBeeNLP

Apr 25, 2024 · Artificial Intelligence

How Apple’s OpenELM Redefines Efficient LLM Scaling with Layer‑Wise Design

Apple’s OpenELM introduces a layer‑wise scaling Transformer family ranging from 270 M to 3 B parameters, provides a full open‑source training framework, and demonstrates superior zero‑shot and few‑shot performance over existing open LLMs despite using less public data, while also analyzing inference bottlenecks and PEFT results.

LLMOpen-sourceOpenELM

0 likes · 8 min read

How Apple’s OpenELM Redefines Efficient LLM Scaling with Layer‑Wise Design