When AI models reason about images, small perceptual errors compound across multiple steps and produce wrong answers. Alibaba's HopChain framework tackles this by generating multi-stage image questions that break complex problems into linked individual steps, forcing models to verify each visual detail before drawing conclusions. The approach improves 20 out of 24 benchmarks.
The article Alibaba's Qwen team built HopChain to fix how AI vision models fall apart during multi-step reasoning appeared first on The Decoder.
