Unverified50% confidenceFactExact time
Classifier-free guidance (CFG) was proposed by Jonathan Ho and Tim Salimans in 2022; by randomly dropping text conditioning during training, the model learns both conditional and unconditional generation.
1
Sources
50%
Confidence
Long-term
Relevance
8/8/2026
First Seen
Sources
Related Claims
UnverifiedModel parameter W is randomly initialized at the start of training.62% similarUnverifiedGLM uses an autoregressive blank-filling training objective, randomly masking text segments and requiring the model to autoregressively restore them.61% similarUnverifiedDirect Preference Optimization（DPO，2023年）通过数学变换将RLHF的两阶段问题压缩为单阶段监督学习，无需显式奖励模型60% similarUnverifiedLLMs follow a probability distribution when generating code, producing code based on the most common patterns in training data.60% similarUnverifiedLLM在生成多线程代码时因无法对执行时序建立符号化推理模型，竞态条件缺陷发生率显著高于经验丰富的人类开发者60% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/711047API
curl https://kongchang.com/api/v1/knowledge/claims/711047MCP
get_claim(id=711047)