Models Follow False Conversation History According to Its Apparent Authority

Tests across three language models found sharply different rates of adopting the same false premise when its attributed source or instructional force changed.

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Fahrell Giovanny · Geby Bayuningtyas · Sahrul Mukharom · Hafiz Budi Firmansyah

Independent Researcher · Institut Teknologi Sumatera

Research Digest··2 min read
The authors injected false premises into multi-turn conversations using five protocols spanning self-attribution, cited sources, system authority and instruction overrides.

5-Air across ten knowledge domains at temperature zero.

Why this paper

From Independent Researcher and Institut Teknologi Sumatera

In one line

LLMs show divergent epistemic policies: GPT-5.4 Mini resists false premises, Gemini follows authority gradient, GLM shows shallower gradient.

What we could check

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Research Digest

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