---
title: "The yes-no bias of large language models reflects answer order and wording, not shifts in moral judgment — Stuff That Spins"
description: "arXiv:2607.05552v1 Announce Type: new Abstract: Large language models (LLMs) increasingly issue judgments read as binary verdicts, and a growing literature rep…"
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date: "2026-07-08T04:00:00+00:00"
modified: "2026-07-08T06:03:32.50434+00:00"
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# The yes-no bias of large language models reflects answer order and wording, not shifts in moral judgment

**Source:** Unknown  
**Published:** July 8, 2026  
**Original:** https://arxiv.org/abs/2607.05552  

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- [Overview](#overview)

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## Overview

arXiv:2607.05552v1 Announce Type: new Abstract: Large language models (LLMs) increasingly issue judgments read as binary verdicts, and a growing literature reports such judgments shifting under logically irrelevant changes of wording - among them an amplified yes-no bias on moral dilemmas, absent in humans. A single framing cannot say what such a shift is: in a yes/no question the word "no" is at once logical verdict, lexical token, and last-printed option. We introduce a psychometric battery th

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