2.8m Gmail.txt -

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

: Uses 11k pairs with a balance of textual and visual rewards ( 2.8M GMAIL.txt

: The SFT stage requires 60 hours of training on 16 H800 GPUs . The RL stages take an additional 34 hours on 24 H800 GPUs [11]. ) used in the RL stages or the

) to ensure the generated code matches the visual intent [11]. 2.8M GMAIL.txt

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