Research

Thin Evidence, Thick Priors: How Language Models Substitute Identity for Missing Financial Facts

Single source1 source7 Oct 2026

arXiv:2610.07798v1 Announce Type: new Abstract: People increasingly ask large language models what to do with their money, yet seldom describe their finances in full.

Reported by 1 source

arxiv.orghttps://arxiv.org/abs/2610.07798

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