Unverified60% confidenceFactExact time
Greedy decoding always selects the token with the highest probability, while random sampling draws from the probability distribution, which means the same prompt may yield different responses.
2
Sources
60%
Confidence
Long-term
Relevance
8/25/2026
First Seen
Sources
Related Entities
Related Claims
VerifiedGreedy decoding selects the token with the highest current probability at every step, which tends to accumulate systematic bias in multi-step tasks because local optima do not equal global optima.78% similarUnverifiedThe random-draw consumption logic of gashapon uses uncertainty to stimulate repeat purchases, which in psychology is known as Variable Ratio Reinforcement.70% similarUnverifiedtop-1%贪婪解码准确率只考察单token预测的一致性，无法捕捉量化对长序列生成质量的真实影响，微小偏差会在自回归生成中累积68% similarUnverifiedGreedy decoding selects the highest-probability token at each step and is most effective at exposing the model's tendency toward repetition; sampling combined with a temperature parameter re-normalizes logits by dividing by temperature to trade off diversity against coherence67% similarUnverifiedClassifiers are probabilistic; a filter that blocks 95% of attempts leaves attackers a 5% opening, while attackers have unlimited retries.67% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/800084API
curl https://kongchang.com/api/v1/knowledge/claims/800084MCP
get_claim(id=800084)