Provable Scaling Laws for the Test-Time Compute of Large Language Models

Yanxi Chen, Xuchen Pan, Yaliang Li, Bolin Ding, Jingren Zhou 0001. Provable Scaling Laws for the Test-Time Compute of Large Language Models. In Danielle Belgrave, Cheng Zhang 0005, Laura N. Montoya, Hsuan-Tien Lin, Razvan Pascanu, Piotr Koniusz, Marzyeh Ghassemi, Nancy Chen, Iván Vladimir Meza Ruíz, Arturo Loaiza-Bonilla, editors, Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, NeurIPS 2025, San Diago, CA, USA, December 2-7, 2025 / Mexico City, Mexico, November 30 - December 5, 2025. 2025. [doi]

Abstract

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