Unverified50% confidenceFactExact time
From the global average, LLM reasoning did not surpass distance-weighted voting (Distance-KNN) on the tabular classification task.
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50%
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Long-term
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10/22/2026
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UnverifiedConfidence scores generated by LLMs are not necessarily calibrated true probabilities66% similarUnverifiedThe order of answer options causes the Decisions API's confidence to drift by approximately 13 percentage points.64% similarUnverifiedIn a preregistered study, confidence intervals relying solely on LLM judges failed to cover the full human-annotation ground truth in 18 of 21 task-and-judge combinations.64% similarUnverifiedSome models enable reasoning by default and count reasoning tokens toward max_tokens, meaning max_tokens is the total budget rather than a cap on the response.64% similarUnverifiedThis study compared the tabular classification performance of 4 general-purpose LLMs and distance-weighted KNN (Distance-KNN) across 19 tabular classification datasets.63% similar
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