2026
Efficient Test-Time Scaling for Small Vision-Language Models
ICLR 2026poster
Small Vision-Language Models (VLMs) provide a computationally efficient alternative to larger models, at the cost of weaker generalization abilities and downstream task performance. These shortcomings could be addressed by test-time scaling techniques, but existing methods are typically computationa…