Unverified50% confidenceTradeoffExact time
重复惩罚、频率惩罚和提高采样温度是推理阶段对抗重复的补救手段，但本质上治标不治本
1
Sources
50%
Confidence
Long-term
Relevance
7/9/2026
First Seen
Sources
FTPO：从训练层面根治AI重复循环的新方案
hackernewshackernews7/7/2026
Related Claims
Unverified引入重试机制时应带指数退避，但需警惕重试放大效应69% similarUnverified指数退避重试可在请求失败后以逐渐增长的时间间隔重试，避免雪崩式并发冲击66% similarUnverifiedFrequency Penalty对已频繁出现的token施加惩罚以抑制重复用词，Presence Penalty对任何已出现过的token施加固定惩罚以鼓励探索新话题64% similarUnverified灵敏度越高误报率也越高，两者存在天然矛盾；带温度补偿和多参数算法（连续采样确认）的机型能在保持灵敏度的同时降低误报，优于单纯调高灵敏度的廉价款62% similarUnverified解码策略中温度参数设置过高会导致采样随机性增加，与幻觉产生有关60% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/396329API
curl https://kongchang.com/api/v1/knowledge/claims/396329MCP
get_claim(id=396329)