English(EN) Estimating great expectations under autoregressive language models with potentials

新方法改进自回归语言模型的期望估计

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-09 04:00

arXiv上的一篇新论文介绍了一种更有效地估计自回归语言模型下期望值的方法。该技术称为势函数（potentials），利用下一个词的条件概率将测试函数分解为加性形式。这种方法旨在降低估计量的方差，从而在计算成本相当的情况下，在各种被估量和应用中实现显著的改进。 AI

影响这项研究可能导致依赖于语言模型期望估计的应用的计算效率提高。

排序理由该集群包含一篇提交至arXiv的研究论文，详细介绍了一种用于语言模型的新方法。 [lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.AI TIER_1 English(EN) · Francesco I. Re, Shubhangi Ghosh, Tim Vieira, Ryan Cotterell · 2026-10-09 04:00

利用自回归语言模型的潜力来估算宏伟的期望

arXiv:2610.11399v1 Announce Type: new Abstract: Many applications of language models hinge not on individual samples but on the expectation of a test functional under the model. Estimating such expectations reliably can be computationally expensive. In this paper, we show how to …