English(EN) When Multiple Choices Are Correct: Asymmetric Probability Allocation in Jev and Other Decision Models

研究发现决策模型在处理多个正确选项时存在困难

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-23 04:00

一项新的研究论文评估了三种决策模型——Jev、Liquid d1和GPT-6 Luna Decisions——在存在多个正确选项时进行概率分配的情况。研究发现，即使模型能够将所有有效选项的排名置于不正确选项之上，仍有相当大比例（28-50%）的正确选项被分配的概率低于均匀分布阈值。此外，当呈现相同的正确选项时，模型表现出显著的概率差异，平均差距在17到79个百分点之间。这些分配问题影响了使用概率阈值准确识别多个正确选项的能力。 AI

影响凸显了大型语言模型在分配概率方面可能存在的缺陷，影响了它们在复杂决策场景中的可靠性。

排序理由学术论文，详细介绍了对决策模型的新评估。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.AI TIER_1 English(EN) · Rushab Munot · 2026-10-23 04:00

When Multiple Choices Are Correct: Asymmetric Probability Allocation in Jev and Other Decision Models

arXiv:2610.29217v1 Announce Type: new Abstract: Decision models return normalized probability distributions over candidate choices, which downstream applications can use to select among choices. Although their providers emphasize the reliability of these probabilities, calibratio…

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When Multiple Choices Are Correct: Asymmetric Probability Allocation in Jev and Other Decision Models

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