AnchorPrune: Relevance-Anchored Contextual Expansion for Visual Token Pruning

arXiv:2607.07033 · cs.CV, cs.AI · Submitted 2026-07-08 · Read on arXiv

cs.CV, cs.AI

Submitted: 2026-07-08

Updated: 2026-09-10

Comments: ECCV 2026

Code: https://github.com/MULTI-cau/AnchorPrune

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Pruning — 29× in this paper · explained in 4 episodes
• Benchmark — 25× in this paper · explained in 2 episodes
• Accuracy — 9× in this paper · explained in 1 episode
• Embeddings — 7× in this paper · explained in 2 episodes
• Ablation — 6× in this paper · explained in 1 episode
• Tokenization — 6× in this paper · explained in 2 episodes
• Aggregation — 4× in this paper · explained in 1 episode
• Alignment — 4× in this paper · explained in 1 episode
• Decode — 4× in this paper · explained in 2 episodes
• Generalization — 4× in this paper · explained in 13 episodes
• Redundancy — 4× in this paper · explained in 2 episodes
• Training-Free Framework — 3× in this paper · explained in 2 episodes
• Instruction Tuning — 2× in this paper · explained in 2 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Ablation study — 1× in this paper · explained in 1 episode
• Anchor Tokens — 1× in this paper · explained in 1 episode
• Consistency — 1× in this paper · explained in 3 episodes
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Hallucination — 1× in this paper · explained in 3 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Multimodal Reasoning — 1× in this paper · explained in 5 episodes
• Transformer — 1× in this paper · explained in 2 episodes
• Vision-Language Models (VLMs) — 1× in this paper · explained in 6 episodes

Sources

• Exploring Visual Interpretability for Contrastive Language-Image Pre-training
• PyramidDrop: Accelerating Your Large Vision-Language Models via Pyramid Visual Redundancy Reduction
• MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities
• SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
• LLaVA-Video: Video Instruction Tuning With Synthetic Data

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