In Part 1, I explored the fundamental challenge of training-inference context mismatch in reasoning models and prototyped three solutions. While those initial experiments on a single conversation d...

After implementing correct and scalable tokenization and masking1 for multi-turn rollout, there remains a critical challenge to achieve full consistency between training and inference: the context ...

After completing our multi-turn tokenization and masking refactoring, we eliminated a critical bottleneck that was preventing us from building a more consistent and flexible rollout system for our ...

I recently spent two weeks refactoring multiturn tokenization and masking for VeRL. While VeRL already had a functional implementation, what initially seemed like a straightforward refactor turned ...