To break the plateau, the authors implement a two-stage Reinforcement Learning (RL) process [11].
: The model is tested on subsets ranging from 200k to 2.8 million samples.
) to ensure the generated code matches the visual intent [11].
To break the plateau, the authors implement a two-stage Reinforcement Learning (RL) process [11].
: The model is tested on subsets ranging from 200k to 2.8 million samples.
) to ensure the generated code matches the visual intent [11].