TEMPO Outperforms Baselines on ARC-AGI-3 with Self-Correction
CodeByPoonam · x · 2026-08-31
The TEMPO method achieved significant gains on the ARC-AGI-3 benchmark, scoring 31.5% higher than the baseline and 20.6% higher than standard RL training (GRPO). It continued to improve at high turn counts where the baseline flatlined.
- Mechanism: Unlike fixed post-hoc scoring, TEMPO allows the same model to switch roles mid-task, pause, reason over its own progress, and estimate proximity to the solution. This "actor and critic" architecture is key to the performance of dots-3 note.
Related event: TEMPO Training Boosts ARC-AGI-3 Scores by Over 30%(3 posts)→
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