VLRMBench: A Comprehensive and Challenging Benchmark for Vision-Language Reward Models

Jiacheng Ruan, Wenzhen Yuan, Xian Gao +6

Although large visual-language models (LVLMs) have demonstrated strong performance in multimodal tasks, errors may occasionally arise due to biases during the reasoning process. Re…