Matthias Otth

Maximizing Prefix-Confidence at Test-Time Efficiently Improves Mathematical Reasoning

2025 · arXiv (Cornell University)

Recent work has shown that language models can self-improve by maximizing their own confidence in their predictions, without relying on external verifiers or reward signals. In this work, we study the test-time scaling of language …