ThinkFuse: Trajectory-Aware Test-Time Fusion for Small Reasoning Models

ThinkFuse is a training‑free test‑time fusion framework designed for small reasoning models (SRMs). It selectively intervenes in unreliable reasoning segments by comparing segment‑level uncertainty shifts with trajectory‑level uncertainty trends, and fuses auxiliary reasoning paths into the primary model’s trajectory. Experiments show ThinkFuse outperforms baselines on mathematical and knowledge‑intensive benchmarks, requires fewer fusion triggers, and generates fewer tokens, demonstrating efficient selective triggering.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

• benchmarks