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The paper formalizes the problem as: minimizing expected inference cost subject to meeting a target performance constraint.
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9/16/2026
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Unverified推理部署对单次计算规模要求低，但需要应对海量并发请求，更强调吞吐量和延迟的平衡76% similarUnverifiedA more complete approach is to add a minimum expected information gain threshold, implementing a two-way gate that neither exceeds the budget nor requires evidence to be genuinely useful.75% similarUnverifiedSetting a thinking budget limit (e.g., allowing only 1,000 tokens under the medium-tier maximum thinking setting) can achieve a compromise between inference quality and speed.74% similarUnverifiedExperiments on open-source LLMs reported in the paper show that adopting the optimal threshold strategy can achieve substantial cost reductions while meeting pre-specified performance budgets.73% similarUnverifiedbase-stock 策略在需求服从独立同分布、提前期固定的假设下可被严格证明是最小化总成本的解析最优解71% similar
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