Gmail.txt — 2.8m

To break the plateau, the authors implement a two-stage Reinforcement Learning (RL) process [11].

) used in the RL stages or the used to measure the success of the 2.8M dataset? 2.8M GMAIL.txt

) to ensure the generated code matches the visual intent [11]. To break the plateau, the authors implement a