A new RL finding says the training harness may induce generalization
inductionheads · x · 2026-07-22
A new result argues that, for reinforcement learning with language models, the training harness can be responsible for much of the observed generalization.
Main claim
- Transformers do not need a new intrinsic generalization ability to transfer across structurally similar tasks.
- If the harness composes tasks well, the root model can learn the same trajectory for tasks that look different.
- In that sense, the harness can induce generalization by grouping structurally similar trajectories together.
Practical note
- The experiments were run with PrimeIntellect’s prime-rl library.
- The harness uses verifiers today, with v1 support coming soon.
- The library is open source.
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