A new arXiv paper explores how to influence language model responses, finding that the position of advice within a prompt significantly impacts its effectiveness. Researchers discovered that advice placed just before a model's answer is most detrimental to its accuracy, while advice with a false rationale is most harmful when placed early in the prompt. Attributing advice to an authority and phrasing it assertively also increases error rates, though the specific authority named has less impact. The study also found that replaying a correct answer before advice can protect it from being overridden. AI
IMPACT Findings could inform prompt engineering strategies to improve LLM reliability and safety.
RANK_REASON Academic paper detailing novel research findings on LLM behavior. [lever_c_demoted from research: ic=1 ai=1.0]
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