Translated data: The research team from Peking University has introduced ChatCoder, addressing the issue of expressing programmer needs. ChatCoder refines code requirements through conversations with users in two stages, enhancing the execution accuracy of large model code generation. The paper highlights that human intervention plays a crucial role in refining requirements. This method allows large models to better meet user needs and promotes further development in the field.