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Wenhao Lin

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 14, 2026, 11:22 PM AMS

3

papers

89

total citations

papers (3)

Fit and Prune: Fast and Training-free Visual Token Pruning for Multi-modal Large Language Models

What Kind of Visual Tokens Do We Need? Training-Free Visual Token Pruning for Multi-Modal Large Language Models from the Perspective of Graph

Accelerating Multimodal Large Language Models via Dynamic Visual-Token Exit and the Empirical Findings

NEURIPS 2025arXiv