Our training proceeded with large-scale RL. While we made some tweaks to our RL recipe from SWE-2, most of the gains came from higher-quality, more diverse RL tasks.
Our research team carefully audited the instructions, environment setup, and verifiers for our tasks, while also curating several new task types.