Poly-EPO adapts reinforcement learning to train language models on sets of responses that are both accurate and exploratory, yielding better generalization, diversity, and test-time scaling on reasoning benchmarks.
**Few-Shot Example 1:** **Context:** What is the smallest value of x such that 5x - 1 = 3x + 2? **Responses:**
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AI 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Poly-EPO: Training Exploratory Reasoning Models
Poly-EPO adapts reinforcement learning to train language models on sets of responses that are both accurate and exploratory, yielding better generalization, diversity, and test-time scaling on reasoning benchmarks.