A new prompt pattern called the "Cognitive Verifier" has been proposed to improve the accuracy and transparency of large language model responses. This pattern, detailed in "A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT" by White et al., instructs the model to first generate relevant sub-questions before attempting to answer the main query. By answering these smaller, independent questions and then synthesizing the results, the model can provide a more thorough and auditable response, avoiding the superficiality that can arise from a single-pass answer. AI
IMPACT Enhances LLM reasoning and transparency for complex queries.
RANK_REASON Describes a new prompt engineering technique for LLMs.
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