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News/Strategic Scaling of Test-Time Compute: A Bandit Learning Approach
arxiv
PublishedApril 24, 2026 at 4:00 AM
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Strategic Scaling of Test-Time Compute: A Bandit Learning Approach

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arXiv:2506.12721v2 Announce Type: replace Abstract: Scaling test-time compute has emerged as an effective strategy for improving the performance of large language models. However, existing methods typically allocate compute uniformly across all queries, overlooking variation in query difficulty. To

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#large-language-models#compute-optimization#bandit-learning#benchmark

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