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2 results for “test-time scaling”
SPIN Processed News Frame: The Hype
Test-Time Scaling for Scientific Equation Discovery
Researchers propose test-time scaling (TTS) as a compute-allocation strategy to improve large language models’ performance on automated scientific equation discovery — an open-ended, iterative search task — and find search width is the most impactful parameter under fixed compute budgets.
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arXiv Computation and Language
Sep 1, 2026
SPIN Processed News Frame: The Hype
SLPO: Scaling Latent Reasoning via a Surrogate Policy
Researchers propose SLPO, a new reinforcement learning method to enable outcome-reward optimization in latent reasoning models—addressing key limitations that previously prevented test-time scaling in continuous-vector-based reasoning systems.
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arXiv Computation and Language
Jul 23, 2026