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cs.CV2026
OODBench: Out-of-Distribution Benchmark for Large Vision-Language Models
Ling Lin, Yang Bai, Heng Su +5
Existing Visual-Language Models (VLMs) have achieved significant progress by being trained on massive-scale datasets, typically under the assumption that data are independent and i…
cs.CV2025
Scaling Inference-Time Search with Vision Value Model for Improved Visual Comprehension
Xiyao Wang, Zhengyuan Yang, Linjie Li +6
Despite significant advancements in vision-language models (VLMs), there lacks effective approaches to enhance response quality by scaling inference-time computation. This capabili…