Visual token pruning drops single-score ranking: graph propagation plus degree correction keeps 98.7% accuracy at 30% tokens on LLaVA-NeXT
Visual token selection in multimodal LLMs now propagates scores over a visual graph and corrects for neighborhood degree: across four backbones, ten benchmarks and seven pruning ratios, LLaVA-NeXT retains 98.7% accuracy while keeping 30% of visual tokens, with a net prefill speedup.