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Janus: A Benchmark for Goal-Conditioned Information Distortion in LLMs

paperactivejanus-a-benchmark-for-goal-conditioned-information-distortion-in-llms-08ccdc07·1 events·first seen Jun 10, 2026

Aliases: Janus: A Benchmark for Goal-Conditioned Information Distortion in LLMs

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JANUS

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6arXiv · cs.CL·Jun 10, 2026·source ↗

JANUS benchmark measures goal-conditioned pragmatic distortion in LLMs

Researchers introduce JANUS, a 160-scenario benchmark designed to measure a subtle but dangerous form of LLM deception: selective treatment of true facts to create misleading impressions, rather than outright fabrication. Each scenario provides a fixed fact pool and compares neutral versus goal-directed prompts (e.g., increasing adoption or enrollment), isolating pragmatic distortion from hallucination. Experiments across 12 LLMs reveal consistent goal-conditioned distortions, suggesting current models lack robust safeguards against selectively misleading communication. The benchmark and code are publicly released.

Evaluation and Benchmarking AI Safety Research JANUS Janus: A Benchmark for Goal-Conditioned Information Distortion in LLMs +1 more