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Aligning Tree-Search Policies with Fixed Token Budgets in Test-Time Scaling of LLMs

Sora Miyamoto, Daisuke Oba, Naoaki Okazaki
Jun 5, 2026 at 04:00
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arXiv:2602.09574v2 Announce Type: replace-cross Abstract: Tree-search decoding is an effective form of test-time scaling for large language models (LLMs), but real-world deployment often imposes a fixed per-query token budget that varies across settings. Existing tree-search policies are largely budget-agnostic, treating the budget merely as a...

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