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Validity Without Ground Truth: What Stated-Preference Economics Offers the Evaluation of Language Models

Paper recorded by Signals 4 on 2026-10-07 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-07 on arXiv · recorded by Signals 4 on 2026-10-08

Category: cs.AI · 人工智能 · first seen 2026-10-08

Abstract

Many of the questions now put to large language models have no correct answer to score against: what a policy is worth, which option a user should choose, how to weigh competing values. Stated-preference economics has faced this problem for decades. It judges survey responses without knowing the true value, through a framework of validity and related concepts: content, construct, and criterion val

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#387 most recent of 960 cs.AI papers we have recorded · ↑ newer: RECAST: Learning to Compute the Right Context through Adaptive Evidenc · ↓ older: EmbodiedRSI: Active Continual Robot Learning Through Hypothesis-Guided
Cite this page: Validity Without Ground Truth: What Stated-Preference Economics Offers the Evaluation of Language Models: the #387 most recent of 960 cs.AI papers we have recorded (as of 2026-10-07). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/validity-without-ground-truth-what-stated-preference-economics-offers-the-evalua.html
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