AI RESEARCH
T1: Tool-integrated Verification for Test-time Compute Scaling in Small Language Models
arXiv CS.AI
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ArXi:2504.04718v2 Announce Type: replace-cross Recent studies have nstrated that test-time compute scaling effectively improves the performance of small language models (sLMs). However, prior research has mainly examined test-time compute scaling with an additional larger model as a verifier, leaving verification by sLMs underexplored. In this work, we investigate whether sLMs can reliably verify the output candidates under test-time scaling.