English(EN) A low-rank decoder bottleneck bounds reliability in foundation-model perturbation prediction

基础模型扰动预测可靠性与低秩解码器瓶颈相关

作者 PulseAugur 编辑部 · [1 个来源] · 2026-11-05 05:00

研究人员在基础模型预测器的状态转换解码器中，特别是在第一个注意力层中，发现了一个低秩瓶颈。这个瓶颈限制了扰动响应预测的可靠性，随着距离训练数据的增加，准确性会下降。提出的一个指标，预测的NN距离（predicted-NN-distance），它衡量从预测响应到其最近训练响应的余弦距离，作为每个预测的置信度得分。该得分与实际预测可靠性显示出很强的相关性，并且可以进行校准以在不同的编码器和细胞系之间转移。 AI

影响识别出基础模型中的一个特定瓶颈，该瓶颈影响了实验优先排序的可靠性。

排序理由该集群包含一篇详细介绍基础模型研究结果的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

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报道来源 [1]

arXiv cs.LG TIER_1 English(EN) · Zheyu Zhang, Yuanhao Huang, Fan Feng, Jie Liu · 2026-11-05 05:00

低秩解码器瓶颈限制了基础模型扰动预测的可靠性

arXiv:2611.05849v1 Announce Type: new Abstract: Foundation-model predictors of perturbation response are evaluated primarily by aggregate accuracy. Using their predictions to prioritize experiments requires assessing each prediction's reliability. We audit the state-transition (S…

本文如何被排名

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低秩解码器瓶颈限制了基础模型扰动预测的可靠性

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