Revisiting the Necessity of Lengthy Chain-of-Thought in Vision-centric Reasoning Generalization

The article likely investigates the role of lengthy chain-of-thought prompting in vision-language models. It probably questions the prevailing assumption that longer chains are always better for generalization in visual reasoning tasks. The research likely explores alternative prompting strategies or model architectures that might achieve comparable or superior performance with shorter or different forms of reasoning chains.