How Dynamic Computation Cuts Redundancy in Decoder-Only Multimodal LLMs

This article examines the visual token redundancy in decoder-only multimodal large language models and introduces a training-free dynamic computation reduction framework—featuring Probe-Activated Dynamic FFN, Hollow Attention, and a Layer Ranking Algorithm—that significantly lowers inference cost while preserving performance.

Efficient Inferencedecoder-only architecturedynamic computation

0 likes · 12 min read

How Dynamic Computation Cuts Redundancy in Decoder-Only Multimodal LLMs

PaperAgent

Mar 31, 2026 · Artificial Intelligence

Can Dynamic Computation Reduction Slash Redundancy in Decoder‑Only Multimodal LLMs?

This article analyzes the visual token redundancy in decoder‑only multimodal large language models and presents a training‑free dynamic computation reduction framework—including Probe‑Activated Dynamic FFN, Hollow Attention, and a Layer Ranking Algorithm—that dramatically speeds up inference while preserving or even improving model performance.

decoder-only MLLMdynamic computationmultimodal AI

0 likes · 13 min read

Can Dynamic Computation Reduction Slash Redundancy in Decoder‑Only Multimodal LLMs?

Smart Era Software Development

Dec 11, 2025 · Artificial Intelligence

From Scale Race to Efficiency Breakthrough: How Architecture Innovation Will Shape 2026 Large Models and Agents

The article analyzes how architecture innovation—through sparse, multimodal, and dynamic designs—will break the compute bottleneck of large models, reshape pre‑training hierarchies, and drive three distinct 2026 pathways for both model efficiency and agent competition.

2026 predictionsAI agentsarchitecture innovation

0 likes · 12 min read

From Scale Race to Efficiency Breakthrough: How Architecture Innovation Will Shape 2026 Large Models and Agents