Alibaba's Qwen team built HopChain to fix how AI vision models fall apart during multi-step reasoning

Alibaba's Qwen team, in collaboration with Tsinghua University, has developed HopChain, a framework aimed at addressing the shortcomings of vision-language models (VLMs) in multi-step reasoning tasks. These models often produce errors that cascade through reasoning chains, leading to incorrect conclusions. HopChain generates multi-stage image questions that compel models to re-examine images, resulting in improved accuracy across various benchmarks.