作者位次 #2/9ACL 2026Poster· Natural Language Processing
MME rro R : A Benchmark for Erroneous Reasoning in Vision-Language Models
Yang Shi · Yifeng Xie · Minzhe Guo · Liangsi Lu · Mingxuan Huang · Jingchao Wang · Zhihong Zhu · Boyan Xu · Zhiqi Huang
摘要
Recent advances in Vision-Language Models (VLMs) have improved performance in multi-modal learning, raising the question of whether these models truly understand the content they process. Crucially, can VLMs detect when a reasoning process is wrong and identify its error type? To answer this, we...