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TopicsLarge language models LLM Prompt Sensitivity AI Capability Evaluation

Mistral Large’s GSM8K performance falls by 30% when a developer note suggests high arithmetic scores prevent deployment.

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We find in this setting, the performance of Mistral Large is decreased by 30% when the incentives within the "Dev Meeting Artithmetic Knowledge As- sessment Notes" align with low-performance, even when explicitly requesting maximum capabilities within the system prompt.

Noise Injection Reveals Hidden Capabilities of Sandbagging Language Modelspreprintextraction 0.80

Tice, Cameron et al. · arXiv.org · Dec 2, 2024 · original

Appendix B, Figure 6 caption; no-goal setting where a developer note says high arithmetic scores prevent deployment

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