arxivcs.CV2026-06-27
On Test-Time Scaling for Vision-Language Models
Fawaz Sammani, Tzoulio Chamiti, Nikos Deligiannis
Test-time scaling is a paradigm where large models use additional compute at inference to achieve better performance, without changing model weights. While it has been widely studied for Large Language Models (LLMs), its applicability to Large Vision-Language Models (LVLMs) remai…