# Functional Web Generation

WebLoop jointly optimizes generation, critique, and refinement as roles of one shared policy for functional Web generation: Generator and Refiner outputs receive direct browser-execution rewards, while the Critic never sees execution results and is trained from requirement-level execution labels (discriminability) plus the execution gain induced by subsequent refinements (helpfulness), using a staged reward that first establishes diagnosis and then adds consequence-aware credit. With Qwen3.5-9B, WebLoop reaches 41.5 Overall on WebRise and 38.9% accuracy on WebGen-Bench, improving the base model by 11.3 and 15.4 points.

WebLoop jointly optimizes generation, critique, and refinement as roles of one shared policy for functional Web generation: Generator and Refiner outputs receive direct browser-execution rewards, while the Critic never sees execution results and is trained from requirement-level execution labels (discriminability) plus the execution gain induced by subsequent refinements (helpfulness), using a staged reward that first establishes diagnosis and then adds consequence-aware credit. With Qwen3.5-9B, WebLoop reaches 41.5 Overall on WebRise and 38.9% accuracy on WebGen-Bench, improving the base model by 11.3 and 15.4 points.