Unverified50% confidenceFactExact time
ADE's softmax normalization uses a temperature parameter T=0.5, controlling the balance between exploration and exploitation.
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50%
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Long-term
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10/12/2026
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VerifiedThe Softmax formula with temperature parameter T is P(xᵢ) = exp(zᵢ/T) / Σexp(zⱼ/T); when T→0 it degenerates to argmax, and when T→∞ it approaches a uniform distribution71% similarUnverified温度参数通过对 softmax 层的 logits 进行缩放来控制概率分布的尖锐程度，温度趋近于0时接近贪心解码70% similarVerifiedThe temperature parameter scales the Logits vector, and when temperature is 0, it degenerates into greedy decoding.68% similar
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