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What, How, Where, and How Well? A Survey on Test-Time Scaling in Large Language Models What, How, Where, and How Well? A Survey on Test-Time Scaling in Large Language Models Qiyuan Zhang + , Fuyuan Lyu * , Zexu Sun ‡ , Lei Wang ¶ , Weixu Zhang * , Wenyue Hua ☆ , Haolun Wu ★ , Zhihan Guo § , Yufei Wang ‖ , Niklas Muennighoff ★ , Irwin King § Xue Liu * Chen Ma + City University of Hong Kong + , McGill University & MILA * , Gaoling School of Artificial Intelligence, Renmin University of China ‡ , Chinese University of Hong Kong § Salesforce AI Research ¶ Macquarie University ‖ Stanford University ★ University of California, Santa Barbara ☆ Paper Code arXiv PPT Abstract As enthusiasm for scaling computation (data and parameters) in the pretraining era gradually diminished, test-time scaling (TTS), also referred to as ``test-time computing'' has emerged as a prominent research focus. Recent studies demonstrate...
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