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The Lie Awareness Spectrum: How Large Language Models Recognize, Rationalize, and Refuse Deception

2026-07-22

Abstract excerpt

<title>Abstract</title> <p> As large language models (LLMs) become embedded in high-stakes decision-making, understanding their capacity for deception—and awareness of it—is critical. We conducted a systematic empirical study comparing GPT-5.4, Claude 4.6 Sonnet, and Gemini 3.1 Pro across scenarios requiring truth manipulation, revealing a previously uncharacterized "Lie Awareness Spectrum" (L0–L5) from statisti...

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Literature Corpus work
26ae3285-318e-5736-959a-2eb074c20a25
DOI
10.21203/rs.3.rs-10422338/v1
Open publication

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The Lie Awareness Spectrum: How Large Language Models Recognize, Rationalize, and Refuse DeceptionDOI 10.21203/rs.3.rs-10422338/v1
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