Unverified50% confidenceTradeoffExact time
Simply increasing the temperature parameter carries the risk of logical incoherence and factual errors.
1
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50%
Confidence
Long-term
Relevance
10/11/2026
First Seen
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Related Claims
VerifiedSetting the temperature parameter too high in decoding strategies leads to increased sampling randomness, which is associated with hallucination generation77% similarVerifiedThe lower the Temperature parameter, the more it tends to select the highest-probability words for more conservative output; the higher it is, the more creative the output but the more prone to hallucinations.72% similarUnverifiedSummaries generated by LLMs are probabilistic; the same input may produce different results at different temperature settings, posing a reproducibility risk.70% similarUnverifiedHigher temperature flattens the probability distribution of the next token, making it easier for the draft head to guess incorrectly, thereby reducing the draft acceptance rate.70% similar
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