TORINO: Token Reduction via Interpretable Concept Overlap in Vision-Language Models

arXiv:2607.04593 · cs.CV, cs.AI · Submitted 2026-07-06 · Read on arXiv

cs.CV, cs.AI

Submitted: 2026-07-06

Updated: 2026-10-16

Terminology

• Vision-language models — 2× in this paper · explained in 2 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Latent Space — 1× in this paper · explained in 7 episodes
• Pruning — 1× in this paper · explained in 4 episodes
• Redundancy — 1× in this paper · explained in 2 episodes
• Sparse Autoencoders (SAEs) — 1× in this paper · explained in 4 episodes
• Unified Framework — 1× in this paper · explained in 5 episodes
• Vision-Language Models (VLMs) — 1× in this paper · explained in 6 episodes

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