PoTRE: Test-Time Reasoning inspired by Cognitive Heterogeneity
TL;DR - PoTRE is a test-time reasoning framework that combines four specialized agents through adaptive aggregation. It reports stronger complex-reasoning performance with similar or fewer inference tokens than heavily scaled homogeneous baselines.
- Uses adversarial refinement, hierarchical planning, spectrum search, and direct chain reasoning agents.
- Aggregates outputs through candidate selection, semantic synthesis, or neuro-symbolic verification.
- Evaluated on ARC-AGI-2, Humanity’s Last Exam, and PRBench Finance.
- Achieves 49.92% accuracy on HLE, reported as a new state-of-the-art official score.