Spontaneous verbal evidence synthesis in LLMs
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TL;DR. I characterize evidence aggregation in LLMs, partly define and identify the mathematical rule(s) used by them and then behaviorally make models follow those rules more closely.You are at Lidl, grocery shopping with a bunch of your friends and friend A says "Strawberries are definitely great here", friend B adds on "Strawberries are likely terrible at Lidl." and friend C says "Apples are probably good." What item would you buy?Hint: There is no objectively correct answer to this question.M
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