IWP: Token Pruning as Implicit Weight Pruning in Large Vision Language Models

arXiv:2604.00757 · cs.CV, cs.AI · Submitted 2026-04-01 · Read on arXiv

cs.CV, cs.AI

Submitted: 2026-04-01

Updated: 2026-09-01

Terminology

• Pruning — 79× in this paper · explained in 4 episodes
• Benchmark — 40× in this paper · explained in 2 episodes
• Redundancy — 18× in this paper · explained in 2 episodes
• Cosine Similarity — 10× in this paper · explained in 3 episodes
• Ablation — 8× in this paper · explained in 1 episode
• Alignment — 8× in this paper · explained in 1 episode
• Transformer — 8× in this paper · explained in 2 episodes
• Maximal Marginal Relevance — 6× in this paper
• Ablation study — 5× in this paper · explained in 1 episode
• Hallucination — 5× in this paper · explained in 3 episodes
• Large Language Model — 5× in this paper
• Multimodal Reasoning — 4× in this paper · explained in 5 episodes
• Temporal Reasoning — 4× in this paper · explained in 2 episodes
• Accuracy — 3× in this paper · explained in 1 episode
• Clustering — 3× in this paper · explained in 2 episodes
• Consistency — 3× in this paper · explained in 3 episodes
• Hilbert Space — 3× in this paper · explained in 2 episodes
• Adam — 2× in this paper · explained in 2 episodes
• Computational overhead — 2× in this paper · explained in 2 episodes
• Core — 2× in this paper · explained in 2 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Attention Mechanism — 1× in this paper · explained in 3 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Causal Reasoning — 1× in this paper · explained in 2 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Information Gain — 1× in this paper · explained in 2 episodes
• Instruction Tuning — 1× in this paper · explained in 2 episodes
• Large Language Model (LLM) — 1× in this paper · explained in 3 episodes
• Pairwise Comparisons — 1× in this paper · explained in 2 episodes
• Point Clouds — 1× in this paper · explained in 2 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Reproducing Kernel Hilbert Space (RKHS) — 1× in this paper · explained in 3 episodes
• Semantic Similarity — 1× in this paper · explained in 2 episodes
• Vision Transformer (ViT) — 1× in this paper · explained in 2 episodes
• Vision-Language Models (VLMs) — 1× in this paper · explained in 6 episodes

Sources

• Variation-aware Vision Token Dropping for Faster Large Vision-Language Models
• Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution
• PyramidDrop: Accelerating Your Large Vision-Language Models via Pyramid Visual Redundancy Reduction
• Qwen2.5 Technical Report

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